Triple

T695459
Position Surface form Disambiguated ID Type / Status
Subject Tavira E13884 entity
Predicate railwayLine P848 FINISHED
Object Algarve line E10468 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: Algarve line | Statement: [Tavira, railwayLine, Algarve line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algarve line
Context triple: [Tavira, railwayLine, Algarve line]
  • A. Algarve line chosen
    The Algarve line is a major railway route in southern Portugal that connects the region’s coastal towns and cities along the Algarve.
  • B. Lisbon Tramway
    The Lisbon Tramway is a historic network of yellow streetcars that navigate Lisbon’s steep, narrow streets and serve as both public transport and a popular tourist attraction.
  • C. Rota
    Rota is one of the principal islands of the Northern Mariana Islands, known for its rugged limestone cliffs, clear waters, and relatively undeveloped, rural character.
  • D. Lisbon Metro
    Lisbon Metro is the rapid transit system serving Portugal’s capital, providing an extensive network of underground and suburban rail lines across the Lisbon metropolitan area.
  • E. Nord-Süd-Bahn
    Nord-Süd-Bahn was the original name of Berlin’s present-day U6 U-Bahn line, a major north–south underground route through the city.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0c5f51c8190acc4915099e4b384 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca9aa9c8190a113e782988aa7f8 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.