Triple

T12915112
Position Surface form Disambiguated ID Type / Status
Subject Hynnekleiv Station E308959 entity
Predicate locatedInMunicipalSubdivision P80271 FINISHED
Object village of Hynnekleiv LITERAL 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: village of Hynnekleiv | Statement: [Hynnekleiv Station, locatedInMunicipalSubdivision, village of Hynnekleiv]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInMunicipalSubdivision
Context triple: [Hynnekleiv Station, locatedInMunicipalSubdivision, village of Hynnekleiv]
  • A. isLocatedInSubdivision
    Indicates that one place or entity is situated within a more specific administrative or geographic subdivision of another area.
  • B. locatedInRegionalDistrict
    Indicates that one entity is geographically situated within the boundaries of a specified regional district.
  • C. isInCountySubdivision
    Indicates that one entity (typically a place or address) is located within the boundaries of a specific county subdivision.
  • D. isInCensusSubdivision chosen
    Indicates that one entity is located within, or falls under the jurisdiction of, a specific census subdivision.
  • E. locatedInSubnationalEntity
    Indicates that one entity is geographically or administratively situated within a specific subnational division, such as a state, province, or region.
  • F. None of above.

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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69d96fa9b7708190a9e9fa30f59ff580 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:41 p.m.