Triple

T13891644
Position Surface form Disambiguated ID Type / Status
Subject Intercidades E333984 entity
Predicate route P5619 FINISHED
Object Lisbon–Faro E971741 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: Lisbon–Faro | Statement: [Intercidades, route, Lisbon–Faro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbon–Faro
Context triple: [Intercidades, route, Lisbon–Faro]
  • A. Lisbon–Faro chosen
    Lisbon–Faro is a major intercity rail corridor in Portugal linking the capital Lisbon with the southern coastal city of Faro in the Algarve region.
  • B. Porto–Faro
    Porto–Faro is a major long-distance rail route in Portugal linking the northern city of Porto with the southern Algarve city of Faro.
  • C. Lisbon–Guimarães
    Lisbon–Guimarães is a major intercity rail route in Portugal connecting the capital Lisbon with the historic northern city of Guimarães.
  • D. Lisbon–Beja
    Lisbon–Beja is a long-distance Intercidades rail service in Portugal connecting the capital city Lisbon with the inland city of Beja.
  • E. Lisbon–Covilhã
    Lisbon–Covilhã is a long-distance Intercidades rail service in Portugal connecting the capital city Lisbon with the inland city of Covilhã across the country’s central region.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcb649c12c819086e85d1dc49624f1 completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 10:15 p.m.