Triple

T3313421
Position Surface form Disambiguated ID Type / Status
Subject Alcoutim E69625 entity
Predicate locatedIn P40 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: [Alcoutim, locatedIn, Faro District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faro District
Context triple: [Alcoutim, locatedIn, 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. Eysturoy
    Eysturoy is the second-largest island of the Faroe Islands, known for its rugged mountains, fjords, and traditional fishing villages.
  • C. Ofoten district
    Ofoten district is a traditional region in Nordland county in northern Norway, known for its fjords, mountains, and the town of Narvik as its main urban center.
  • D. Setesdal region
    The Setesdal region is a traditional valley area in southern Norway known for its distinctive folk culture, music, and well-preserved rural landscapes.
  • E. Ryfylke
    Ryfylke is a traditional district in southwestern Norway known for its fjords, islands, and mountainous coastal landscape in Rogaland county.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ef548481908b3aabc7052c70d8 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3d759908190b1f5170930ff03c5 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:11 p.m.