Triple

T15528697
Position Surface form Disambiguated ID Type / Status
Subject Fuglset E370150 entity
Predicate hasTransportationConnectionTo P11026 FINISHED
Object Molde town center E75759 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: Molde town center | Statement: [Fuglset, hasTransportationConnectionTo, Molde town center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molde town center
Context triple: [Fuglset, hasTransportationConnectionTo, Molde town center]
  • A. Molde chosen
    Molde is a coastal town in western Norway known for its scenic fjord views, mild climate, and annual international jazz festival.
  • B. Molde Municipality
    Molde Municipality is a local government area in Møre og Romsdal county, Norway, known for its coastal landscape, fjords, and the town of Molde as its main urban center.
  • C. Smestad
    Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
  • D. Beitstad
    Beitstad was a former municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
  • E. Melbu
    Melbu is a small coastal village and fishing community in Hadsel Municipality in Nordland county, Norway.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5b989c8190a76612df167ba1dd completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.