Triple

T16168116
Position Surface form Disambiguated ID Type / Status
Subject Lombrives Cave E392360 entity
Predicate nearestSettlement P3883 FINISHED
Object Ussat
Ussat is a small commune in the Ariège department of southwestern France, located in the Pyrenees and known for its proximity to notable caves and thermal springs.
E1198275 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: Ussat | Statement: [Lombrives Cave, nearestSettlement, Ussat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ussat
Context triple: [Lombrives Cave, nearestSettlement, Ussat]
  • A. Usiniseme
    "Usiniseme" is a popular Tanzanian Bongo Flava song by Ali Kiba, known for its smooth melody and romantic lyrics.
  • B. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • C. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • D. Urusemal
    Urusemal is a surname most notably associated with Joseph J. Urusemal, a politician from the Federated States of Micronesia who served as its president.
  • E. Uslar
    Uslar is a small town in Lower Saxony, Germany, known for its location in the Weser Uplands and its traditional half-timbered architecture.
  • 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: Ussat
Triple: [Lombrives Cave, nearestSettlement, Ussat]
Generated description
Ussat is a small commune in the Ariège department of southwestern France, located in the Pyrenees and known for its proximity to notable caves and thermal springs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ussat
Target entity description: Ussat is a small commune in the Ariège department of southwestern France, located in the Pyrenees and known for its proximity to notable caves and thermal springs.
  • A. Usiniseme
    "Usiniseme" is a popular Tanzanian Bongo Flava song by Ali Kiba, known for its smooth melody and romantic lyrics.
  • B. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • C. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • D. Urusemal
    Urusemal is a surname most notably associated with Joseph J. Urusemal, a politician from the Federated States of Micronesia who served as its president.
  • E. Uslar
    Uslar is a small town in Lower Saxony, Germany, known for its location in the Weser Uplands and its traditional half-timbered architecture.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb4ea9c81908806f9771ae80148 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bb6aac8190a33607abfe9a32d0 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff9bb09c48190881c0f70bae0aec8 completed May 10, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69fffa5186b88190971d3c5061503541 completed May 10, 2026, 3:24 a.m.
Created at: April 10, 2026, 5:02 a.m.