Triple

T22035206
Position Surface form Disambiguated ID Type / Status
Subject Mahon E544187 entity
Predicate otherLanguageName P13426 FINISHED
Object Mahón 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: Mahón | Statement: [Mahon, otherLanguageName, Mahón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahón
Context triple: [Mahon, otherLanguageName, Mahón]
  • A. Mahón chosen
    Mahón is the principal city and administrative center of the Spanish Balearic island of Menorca, known for its large natural harbor and historic architecture.
  • B. Alcúdia
    Alcúdia is a historic coastal town in northern Mallorca, Spain, known for its well-preserved medieval walls, charming old town, and nearby sandy beaches.
  • 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. Altea
    Altea is a picturesque coastal town on Spain’s Costa Blanca, known for its whitewashed old quarter, blue-domed church, and vibrant arts scene.
  • E. Palma de Mallorca
    Palma de Mallorca is the historic coastal city and major tourist destination that serves as the political, cultural, and economic center of Spain’s Balearic Islands.
  • 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.