Triple

T3090470
Position Surface form Disambiguated ID Type / Status
Subject Olhão railway station E64468 entity
Predicate locatedIn P40 FINISHED
Object Olhão E63889 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: Olhão | Statement: [Olhão railway station, locatedIn, Olhão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olhão
Context triple: [Olhão railway station, locatedIn, Olhão]
  • A. Olhão chosen
    Olhão is a coastal city in Portugal’s Algarve region, known for its fishing port, historic waterfront, and access to the Ria Formosa lagoon and nearby islands.
  • B. Ferragudo
    Ferragudo is a picturesque coastal village in Portugal’s Algarve region, known for its traditional whitewashed houses, fishing heritage, and scenic beaches along the Arade River.
  • C. Estepona
    Estepona is a coastal resort town on Spain’s Costa del Sol, known for its Mediterranean beaches, marina, and whitewashed old town.
  • D. 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.
  • E. Puerto del Carmen
    Puerto del Carmen is a major seaside tourist resort town on the Spanish island of Lanzarote in the Canary Islands, known for its beaches, nightlife, and holiday accommodations.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20d8f788190b05b8b6b5042bc1a completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8a6fe2081909e2bf9ee5629f017 completed March 11, 2026, 11:20 p.m.
Created at: March 8, 2026, 3:03 p.m.