Triple

T9506657
Position Surface form Disambiguated ID Type / Status
Subject Harry Gregg E229286 entity
Predicate managed P3234 FINISHED
Object Keflavík ÍF E610779 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: Keflavík ÍF | Statement: [Harry Gregg, managed, Keflavík ÍF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keflavík ÍF
Context triple: [Harry Gregg, managed, Keflavík ÍF]
  • A. Keflavík chosen
    Keflavík is a town in southwestern Iceland known for its proximity to Reykjavík and its role as a hub for international air travel and nearby attractions like the Blue Lagoon.
  • B. Breiðablik
    Breiðablik is the shining, beautiful hall in Norse mythology that serves as the home of the god Baldr.
  • C. Halmstads BK
    Halmstads BK is a Swedish professional football club based in Halmstad, known for competing in the country’s top leagues and winning multiple national titles.
  • D. Landsliðið
    Landsliðið is the Faroe Islands' men's national football team, representing the small North Atlantic archipelago in international soccer competitions.
  • E. Oslo Havn KF
    Oslo Havn KF is the municipal enterprise responsible for managing and developing the Port of Oslo’s harbor infrastructure and maritime operations.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9852b7e48190a8f69cbde10d2858 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a2494c081908579592fa0fee90b completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:57 p.m.