Triple

T2180853
Position Surface form Disambiguated ID Type / Status
Subject Médoc E49037 entity
Predicate hasCommunalAppellation P37686 FINISHED
Object Saint-Julien E177778 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: Saint-Julien | Statement: [Médoc, hasCommunalAppellation, Saint-Julien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Julien
Context triple: [Médoc, hasCommunalAppellation, Saint-Julien]
  • A. Saint-Julien chosen
    Saint-Julien is a French commune best known as the birthplace of renowned 19th-century physiologist Claude Bernard.
  • B. Saint-Marcel
    Saint-Marcel is a Paris Métro station located in the 5th arrondissement, serving the southeastern part of central Paris.
  • C. Fronsac
    Fronsac is a French wine appellation on the right bank of the Dordogne River, known for its Merlot-based red wines and proximity to Bordeaux.
  • D. Colomiers
    Colomiers is a suburban city in southwestern France, known as part of the Toulouse metropolitan area and for its strong aerospace and industrial sectors.
  • E. 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.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc5b101d48190a321625720d537b6 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da5930c819087e71a609f76e269 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.