Triple

T14942211
Position Surface form Disambiguated ID Type / Status
Subject Nordkapp Municipality E372557 entity
Predicate hasSettlement P1068 FINISHED
Object Repvåg E382084 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: Repvåg | Statement: [Nordkapp Municipality, hasSettlement, Repvåg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Repvåg
Context triple: [Nordkapp Municipality, hasSettlement, Repvåg]
  • A. Repvåg chosen
    Repvåg is a small coastal village in northern Norway situated along the shores of Porsangerfjorden in Finnmark.
  • B. Revúca
    Revúca is a small town in central Slovakia known for its historical role in Slovak national revival and its location in a mountainous area of the Banská Bystrica Region.
  • C. Rypien
    Rypien is the surname of former NFL quarterback Mark Rypien, best known for leading the Washington Redskins to a Super Bowl XXVI victory and earning the game's MVP award.
  • D. Walluvanad
    Walluvanad is a historical region in the former Malabar District of Kerala, India, known for its role in local feudal politics and resistance movements during the colonial period.
  • E. Veckring
    Veckring is a small commune in northeastern France, notable for its proximity to the major Maginot Line fortification of Hackenberg.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e929f3881908560b8428e72327d completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:38 a.m.