Triple

T16199753
Position Surface form Disambiguated ID Type / Status
Subject Zličín E393165 entity
Predicate locatedNear P294 FINISHED
Object Sobín
Sobín is a small village-like district on the western outskirts of Prague, Czech Republic, known for its residential character and proximity to the Zličín area.
 E1198652 NE FINISHED

How this triple was built (4 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: Sobín | Statement: [Zličín, locatedNear, Sobín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sobín
Context triple: [Zličín, locatedNear, Sobín]
  • A. La Rippe
    La Rippe is a small Swiss municipality in the canton of Vaud, located near the Jura Mountains and close to the French border.
  • B. Olsa River
    The Olsa River is a smaller watercourse in Belarus that serves as one of the tributaries feeding into the larger Berezina River system.
  • C. Sesia
    The Sesia is a river in northwestern Italy that flows through the Piedmont region before joining the Po River.
  • D. Tamis
    Tamis is a river in the South Banat District of Serbia, known as a tributary of the Danube that flows through both Romania and Serbia.
  • E. Rissne
    Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
  • 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: Sobín
Triple: [Zličín, locatedNear, Sobín]
Generated description
Sobín is a small village-like district on the western outskirts of Prague, Czech Republic, known for its residential character and proximity to the Zličín area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sobín
Target entity description: Sobín is a small village-like district on the western outskirts of Prague, Czech Republic, known for its residential character and proximity to the Zličín area.
  • A. La Rippe
    La Rippe is a small Swiss municipality in the canton of Vaud, located near the Jura Mountains and close to the French border.
  • B. Olsa River
    The Olsa River is a smaller watercourse in Belarus that serves as one of the tributaries feeding into the larger Berezina River system.
  • C. Sesia
    The Sesia is a river in northwestern Italy that flows through the Piedmont region before joining the Po River.
  • D. Tamis
    Tamis is a river in the South Banat District of Serbia, known as a tributary of the Danube that flows through both Romania and Serbia.
  • E. Rissne
    Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
  • F. None of above. chosen

Provenance (5 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222de2db481908471b9c73d444607 completed April 17, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff1107908190afda091b53317d81 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a00014d982881908dcb9a0abd75a1e2 completed May 10, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_6a00021e42ec8190af9869b7f8be3ce5 completed May 10, 2026, 3:57 a.m.
Created at: April 10, 2026, 5:03 a.m.