Triple

T30181447
Position Surface form Disambiguated ID Type / Status
Subject Lichtensteig E767210 entity
Predicate historicTownRights P195087 FINISHED
Object medieval origin 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: medieval origin | Statement: [Lichtensteig, historicTownRights, medieval origin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicTownRights
Context triple: [Lichtensteig, historicTownRights, medieval origin]
  • A. hasHistoricTownRights chosen
    Indicates that an entity possesses officially granted historic town rights, typically conferring a traditional legal or municipal status as a town.
  • B. governsHistoricTown
    Indicates that one entity exercises official governing authority over a town that is recognized as historically significant.
  • C. containsHistoricTown
    Indicates that one entity geographically includes or encompasses a town that has recognized historical significance.
  • D. historicalTownshipOf
    Indicates that one entity was formerly a township encompassing or governing the other entity during a past historical period.
  • E. servesHistoricTown
    Indicates that a service, route, or facility provides access or support to a town recognized for its historical significance.
  • 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_69f2247cc3d88190811dec3face94bf5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fed6da0390819096b88ef4714b144e completed May 9, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69fed53517d081909966f31707625f1a completed May 9, 2026, 6:33 a.m.
Created at: April 29, 2026, 7:26 p.m.