Triple

T9386519
Position Surface form Disambiguated ID Type / Status
Subject Gironde E225917 entity
Predicate hasMajorCity P316 FINISHED
Object Mérignac E238606 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: Mérignac | Statement: [Gironde, hasMajorCity, Mérignac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mérignac
Context triple: [Gironde, hasMajorCity, Mérignac]
  • A. Mérignac chosen
    Mérignac is a suburban city in southwestern France, forming part of the Bordeaux metropolitan area and hosting the region’s main international airport.
  • B. Blaye
    Blaye is a wine-producing area on the right bank of the Gironde estuary in southwestern France, known for its red and white Bordeaux wines and historic citadel.
  • C. Ribérac
    Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
  • D. Blagnac
    Blagnac is a suburban town near Toulouse in southwestern France, best known for hosting the headquarters and main facilities of the aircraft manufacturer Airbus.
  • E. Saint-Junien
    Saint-Junien is a commune in west-central France known for its historical leather and glove-making industry and its location along the Vienne River.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d3964c8190b0353f56df755db8 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1078fbc8c8190ac27c5cb27793a9a completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:45 p.m.