Triple

T9901551
Position Surface form Disambiguated ID Type / Status
Subject Gáldar E182293 entity
Predicate province P604 FINISHED
Object Las Palmas E30358 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: Las Palmas | Statement: [Gáldar, province, Las Palmas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Palmas
Context triple: [Gáldar, province, Las Palmas]
  • A. Las Palmas de Gran Canaria chosen
    Las Palmas de Gran Canaria is a major Spanish port city on the island of Gran Canaria, known for its historic old town, urban beaches, and role as an economic and cultural hub of the Canary Islands.
  • B. Málaga
    Málaga is a historic port city on Spain’s Costa del Sol, renowned for its Mediterranean beaches, rich Andalusian culture, and as the birthplace of artist Pablo Picasso.
  • C. Malaga
    Malaga is a white wine grape variety name historically used as a synonym for Sémillon in certain wine-growing regions.
  • D. 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.
  • E. Palma
    Palma is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4e221448190b536742d1269f9d7 completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d15df30819092ae896786564478 completed April 5, 2026, 10:44 a.m.
Created at: March 30, 2026, 8:40 p.m.