Triple

T7277658
Position Surface form Disambiguated ID Type / Status
Subject Cape Emine E163069 entity
Predicate nearSettlement P3883 FINISHED
Object Sveti Vlas
Sveti Vlas is a Bulgarian Black Sea resort town known for its beaches, yacht marina, and proximity to the Balkan Mountains.
 E653871 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: Sveti Vlas | Statement: [Cape Emine, nearSettlement, Sveti Vlas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sveti Vlas
Context triple: [Cape Emine, nearSettlement, Sveti Vlas]
  • A. Vlahi
    Vlahi are an ethnographic group in Istria who identify as Vlachs, a Romance-speaking people historically spread across parts of the Balkans.
  • B. Zlatitsa
    Zlatitsa is a small historic town in western Bulgaria, situated in a valley of the Balkan Mountains and known for its mining and metallurgical industries.
  • C. Gevgelija
    Gevgelija is a town in southeastern North Macedonia near the Greek border, known for its warm climate, agriculture, and role as a key transport and trade hub.
  • D. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • E. Kispiox
    Kispiox is a Gitxsan First Nations village in northwestern British Columbia, Canada, known for its rich Indigenous culture and prominent totem poles.
  • 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: Sveti Vlas
Triple: [Cape Emine, nearSettlement, Sveti Vlas]
Generated description
Sveti Vlas is a Bulgarian Black Sea resort town known for its beaches, yacht marina, and proximity to the Balkan Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sveti Vlas
Target entity description: Sveti Vlas is a Bulgarian Black Sea resort town known for its beaches, yacht marina, and proximity to the Balkan Mountains.
  • A. Vlahi
    Vlahi are an ethnographic group in Istria who identify as Vlachs, a Romance-speaking people historically spread across parts of the Balkans.
  • B. Zlatitsa
    Zlatitsa is a small historic town in western Bulgaria, situated in a valley of the Balkan Mountains and known for its mining and metallurgical industries.
  • C. Gevgelija
    Gevgelija is a town in southeastern North Macedonia near the Greek border, known for its warm climate, agriculture, and role as a key transport and trade hub.
  • D. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • E. Kispiox
    Kispiox is a Gitxsan First Nations village in northwestern British Columbia, Canada, known for its rich Indigenous culture and prominent totem poles.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb309a648190a2a2f2cca9ce2f56 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3110688190bf52180ea159c91c completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dbf65fb08190ae8a9c4e57d42e97 completed March 28, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc6873a081908ea4e953430ec20b completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 2:59 p.m.