Triple

T22035202
Position Surface form Disambiguated ID Type / Status
Subject Mahon E544187 entity
Predicate officialName P66 FINISHED
Object Maó NE NERFINISHED

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: Maó | Statement: [Mahon, officialName, Maó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maó
Context triple: [Mahon, officialName, Maó]
  • A. city of Maó chosen
    The city of Maó (Mahón) is the capital of Menorca in Spain’s Balearic Islands, known for its large natural harbor and historic Mediterranean port.
  • B. Alguer
    Alguer, known in Italian as Alghero, is a coastal city in northwestern Sardinia notable for its strong historical and linguistic ties to the Catalan language.
  • C. Manacor
    Manacor is a major town on the Spanish island of Mallorca, known for its pearl industry and as the birthplace of tennis player Rafael Nadal.
  • D. Valldemossa
    Valldemossa is a picturesque mountain village on the Spanish island of Mallorca, renowned for its historic Carthusian monastery and scenic stone streets.
  • E. Mahón
    Mahón is the principal city and administrative center of the Spanish Balearic island of Menorca, known for its large natural harbor and historic architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f0594881909caf4fbc3e0a2d50 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.