Triple

T29158013
Position Surface form Disambiguated ID Type / Status
Subject Vieussan E739106 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Canton of Saint-Pons-de-Thomières
The Canton of Saint-Pons-de-Thomières is an administrative division in the Hérault department in southern France, grouping several rural communes around the town of Saint-Pons-de-Thomières.
E1854676 NE FINISHED

How this triple was built (2 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: Canton of Saint-Pons-de-Thomières | Statement: [Vieussan, locatedInAdministrativeTerritory, Canton of Saint-Pons-de-Thomières]
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: Canton of Saint-Pons-de-Thomières
Triple: [Vieussan, locatedInAdministrativeTerritory, Canton of Saint-Pons-de-Thomières]
Generated description
The Canton of Saint-Pons-de-Thomières is an administrative division in the Hérault department in southern France, grouping several rural communes around the town of Saint-Pons-de-Thomières.

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_69f07cb528fc8190a556b73990c347c8 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f662ab94708190b6b89b28c46dbcd0 completed May 2, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25506b76f8819091a5e0e651978384 completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a25549cc6548190937807666cda7b6f completed June 7, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_6a255fff7c98819080aa4713ce278a9c completed June 7, 2026, 12:11 p.m.
Created at: April 28, 2026, 11:46 a.m.