Triple

T15427551
Position Surface form Disambiguated ID Type / Status
Subject Pont-canal d’Agen E369550 entity
Predicate locatedNear P294 FINISHED
Object town of Agen E1054162 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: town of Agen | Statement: [Pont-canal d’Agen, locatedNear, town of Agen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Agen
Context triple: [Pont-canal d’Agen, locatedNear, town of Agen]
  • A. city of Agen chosen
    The city of Agen is a commune in southwestern France, known as the capital of the Lot-et-Garonne department and famed for its prunes and historic architecture.
  • B. municipality of Agen
    The municipality of Agen is the local government authority of the city of Agen in southwestern France, responsible for administering public services, cultural institutions, and urban development within its jurisdiction.
  • C. Valence-d'Agen
    Valence-d'Agen is a small commune in southwestern France known for its traditional markets and location along the Canal de Garonne.
  • D. Castres-Gironde
    Castres-Gironde is a commune in southwestern France’s Gironde department, situated in the Nouvelle-Aquitaine region.
  • E. Ribérac
    Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a8099448190be71f7b649c7e545 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.