Triple

T21721444
Position Surface form Disambiguated ID Type / Status
Subject Froðba E536164 entity
Predicate hasLocalName P6353 FINISHED
Object Froðba NE NERFINISHED

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: Froðba | Statement: [Froðba, hasLocalName, Froðba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Froðba
Context triple: [Froðba, hasLocalName, Froðba]
  • A. Froðba chosen
    Froðba is a village on the island of Suðuroy in the Faroe Islands, known for its coastal setting and traditional Faroese character.
  • B. Fræna
    Fræna is a former coastal municipality in western Norway known for its rugged shoreline, fishing communities, and scenic North Atlantic landscapes.
  • C. Fréthun
    Fréthun is a small commune in northern France near Calais, known for its proximity to the Channel Tunnel and its role as a transport hub in the region.
  • D. Elduvík
    Elduvík is a small coastal village in the Faroe Islands known for its traditional turf-roofed houses and scenic fjord-side setting.
  • E. Finnboda
    Finnboda is a waterfront district in Nacka, Sweden, known for its former shipyard area now redeveloped into a residential and commercial neighborhood overlooking central Stockholm.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96f1fbc8190a202f834aec1a319 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.