Triple

T9884594
Position Surface form Disambiguated ID Type / Status
Subject Teguise E180897 entity
Predicate hasMarket P2714 FINISHED
Object Teguise Sunday market E180897 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: Teguise Sunday market | Statement: [Teguise, hasMarket, Teguise Sunday market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teguise Sunday market
Context triple: [Teguise, hasMarket, Teguise Sunday market]
  • A. Teguise chosen
    Teguise is a historic town and municipality on the island of Lanzarote in Spain’s Canary Islands, known for its well-preserved architecture and popular Sunday market.
  • B. Guadix
    Guadix is a historic Andalusian town in southern Spain, noted for its cave dwellings and impressive cathedral set against the Sierra Nevada foothills.
  • C. Aravaca
    Aravaca is a residential neighborhood in the Moncloa-Aravaca district of Madrid, Spain, known for its affluent character and proximity to the city center.
  • D. Aljustrel
    Aljustrel is a Portuguese town and municipality in the Alentejo region known historically for its mining activities, particularly copper and pyrite extraction.
  • E. Tarifa
    Tarifa is a coastal town in southern Spain known as the southernmost point of mainland Europe and a major destination for wind sports like kitesurfing and windsurfing.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb45549488190833200977d558e47 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eaf6a5848190ad031bdb195cd4ce completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:38 p.m.