Triple

T15160281
Position Surface form Disambiguated ID Type / Status
Subject Manuel Amoros E362192 entity
Predicate playedInLeague P2209 FINISHED
Object French Division 1 E66666 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: French Division 1 | Statement: [Manuel Amoros, playedInLeague, French Division 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Division 1
Context triple: [Manuel Amoros, playedInLeague, French Division 1]
  • A. Ligue 1 and Ligue 2
    Ligue 1 and Ligue 2 are the top two professional divisions of French football, forming the elite tiers of the national league system.
  • B. Ligue A (France)
    Ligue A (France) is the top professional men's volleyball league in France, featuring the country's leading clubs in the sport.
  • C. Ligue 2
    Ligue 2 is the second tier of professional football in the French league system, sitting directly below Ligue 1.
  • D. Ligue 1 chosen
    Ligue 1 is France’s top professional football division, featuring the country’s leading clubs in the highest tier of its league system.
  • E. French League
    The French League is France's top-tier professional basketball championship, featuring the country's leading clubs competing for the national title.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060dd71881908ecc4a4f52d438a5 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffaa4b88190aab36fdae057e6d2 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:08 a.m.