Triple

T35755645
Position Surface form Disambiguated ID Type / Status
Subject Kagi E1033438 entity
Predicate hasMunicipalStatusNowAs P37705 FINISHED
Object provincial city of Taiwan 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: provincial city of Taiwan | Statement: [Kagi, hasMunicipalStatusNowAs, provincial city of Taiwan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalStatusNowAs
Context triple: [Kagi, hasMunicipalStatusNowAs, provincial city of Taiwan]
  • A. isMunicipalStatus chosen
    Indicates that an entity possesses a specific legally defined municipal status or classification within a governmental or administrative system.
  • B. hasMunicipalStatusUntil
    Indicates that an entity possessed municipal status up to, but not beyond, a specified point in time.
  • C. usedToHaveMunicipalStatus
    Indicates that an entity previously held municipal status (was officially recognized as a municipality) but no longer does.
  • D. hasMunicipalStatusChange
    Indicates that an entity undergoes a change in its official municipal status (e.g., creation, upgrade, downgrade, merger, or dissolution as a municipality).
  • E. municipalityStatusGranted
    Indicates that an entity has been officially granted the legal status and recognition of a municipality.
  • 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_69f76e1262f48190a313318665acc189 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe72dca2f08190beff17de3d2aada6 completed May 8, 2026, 11:33 p.m.
PD Predicate disambiguation batch_69fe70bca8d08190b810e1e616ceac44 completed May 8, 2026, 11:24 p.m.
Created at: May 3, 2026, 4:06 p.m.