Triple

T12007295
Position Surface form Disambiguated ID Type / Status
Subject Barreiro–Faro section E285813 entity
Predicate servesRegion P82 FINISHED
Object Faro District E6080 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: Faro District | Statement: [Barreiro–Faro section, servesRegion, Faro District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faro District
Context triple: [Barreiro–Faro section, servesRegion, Faro District]
  • A. Faro District chosen
    Faro District is the southernmost administrative district of mainland Portugal, encompassing much of the Algarve region and its popular coastal resorts.
  • B. Faro Department
    Faro Department is an administrative division in northern Cameroon known for its largely rural character and proximity to the Faro River and protected natural areas.
  • C. Lofoten district
    Lofoten district is a scenic archipelago in northern Norway known for its dramatic mountains, fishing villages, and Arctic coastal landscapes.
  • D. Vesterålen district
    Vesterålen district is a coastal region in northern Norway known for its dramatic islands, rich fishing traditions, and whale-watching opportunities.
  • E. Eysturoy
    Eysturoy is the second-largest island of the Faroe Islands, known for its rugged mountains, fjords, and traditional fishing villages.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c5cfc08190821e4b2940c51416 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b1570208190a08c64e028f67d81 completed May 1, 2026, 11:14 a.m.
Created at: April 8, 2026, 9:46 p.m.