Triple

T10551402
Position Surface form Disambiguated ID Type / Status
Subject Limoges – Bellegarde Airport E248954 entity
Predicate pushpinLabel P9248 FINISHED
Object LIG E870261 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: LIG | Statement: [Limoges – Bellegarde Airport, pushpinLabel, LIG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LIG
Context triple: [Limoges – Bellegarde Airport, pushpinLabel, LIG]
  • A. LIG chosen
    LIG is the IATA airport code for Limoges – Bellegarde Airport in Limoges, France.
  • B. Liga
    Liga is the Spanish name commonly used to refer to the Catholic League, a powerful alliance of Catholic states formed during the French Wars of Religion to oppose Protestant influence.
  • C. Ligatne
    Ligatne is a small town in Latvia known for its scenic location within the Gauja National Park and its historic paper mill heritage.
  • D. I liga
    I liga is the second-highest tier of professional football in the Polish league system, sitting just below the Ekstraklasa.
  • E. LGK
    LGK is the IATA airport code for Langkawi International Airport, the main air gateway to the Langkawi archipelago in Malaysia.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d4c4048190a104d6e088f565b3 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b3148dc81908720c27e58a325ab completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:34 p.m.