Triple

T3446713
Position Surface form Disambiguated ID Type / Status
Subject Lazovsky Nature Reserve E72696 entity
Predicate mainSettlementNearby P13187 FINISHED
Object Lazo
Lazo is a nearby settlement in Primorsky Krai, Russia, known for its proximity to the Lazovsky Nature Reserve on the Sea of Japan coast.
E358977 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lazo | Statement: [Lazovsky Nature Reserve, mainSettlementNearby, Lazo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazo
Context triple: [Lazovsky Nature Reserve, mainSettlementNearby, Lazo]
  • A. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • B. Lotso
    Lotso is the strawberry-scented teddy bear who serves as the main antagonist in Pixar's animated film Toy Story 3.
  • C. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • D. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • E. Sabetzki
    Sabetzki is a German surname most notably associated with Günther Sabetzki, a prominent ice hockey executive and former president of the International Ice Hockey Federation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lazo
Triple: [Lazovsky Nature Reserve, mainSettlementNearby, Lazo]
Generated description
Lazo is a nearby settlement in Primorsky Krai, Russia, known for its proximity to the Lazovsky Nature Reserve on the Sea of Japan coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lazo
Target entity description: Lazo is a nearby settlement in Primorsky Krai, Russia, known for its proximity to the Lazovsky Nature Reserve on the Sea of Japan coast.
  • A. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • B. Lotso
    Lotso is the strawberry-scented teddy bear who serves as the main antagonist in Pixar's animated film Toy Story 3.
  • C. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • D. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • E. Sabetzki
    Sabetzki is a German surname most notably associated with Günther Sabetzki, a prominent ice hockey executive and former president of the International Ice Hockey Federation.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainSettlementNearby
Context triple: [Lazovsky Nature Reserve, mainSettlementNearby, Lazo]
  • A. hasNearestLargerSettlement
    Indicates that one settlement is associated with the geographically closest settlement that is larger in size or population.
  • B. mainSettlement chosen
    Indicates that one settlement serves as the primary or most important settlement associated with a given area, region, or administrative unit.
  • C. nearbyUrbanCenter
    Indicates that one location is geographically close to an urban center, such as a city or large town.
  • D. hasNearbyTown
    Indicates that one location has a town situated close to it in geographic proximity.
  • E. administrativeCentreNearby
    Indicates that an administrative centre is located close to the referenced entity in geographic or spatial terms.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba6efb188190b989fa4d6f28e16b completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360e32ba08190bcd2f3cbe963c443 completed March 13, 2026, 12:57 a.m.
NEDg Description generation batch_69b3615cf80481908ff305f995d0b176 completed March 13, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69b36249b50881909ebae2d35b30cc1c completed March 13, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69adae0255b48190a9069f7871c7a012 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:16 p.m.