Triple

T5084009
Position Surface form Disambiguated ID Type / Status
Subject Barnstaple E114590 entity
Predicate hasTwinTown P919 FINISHED
Object Grindavík E166303 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: Grindavík | Statement: [Barnstaple, hasTwinTown, Grindavík]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grindavík
Context triple: [Barnstaple, hasTwinTown, Grindavík]
  • A. Grindavík chosen
    Grindavík is a small Icelandic fishing town on the Reykjanes Peninsula, known for its proximity to the Blue Lagoon geothermal spa and recent volcanic activity in the surrounding area.
  • B. Reykjabók
    Reykjabók is a medieval Icelandic manuscript best known for preserving the text of the Laxdæla saga, one of the classic Icelandic family sagas.
  • C. Garðabær
    Garðabær is a suburban municipality in the Capital Region of Iceland, known for being part of the greater Reykjavík area and hosting some of the country’s prominent residential neighborhoods.
  • D. Leknes
    Leknes is a small coastal town in Norway’s Lofoten archipelago, known for its dramatic mountain-and-sea landscapes and role as a regional commercial center.
  • E. Mosfellsbær
    Mosfellsbær is a small coastal town and municipality near Reykjavík in southwestern Iceland, known for its scenic landscapes and residential character.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7517af308190bab5507a9344bf68 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb135912c81909dd32d21b604e1b1 completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:40 p.m.