Triple

T26718603
Position Surface form Disambiguated ID Type / Status
Subject Thailand administrative divisions E673634 entity
Predicate hasNumberOfSpecialAdministrativeAreas P179906 FINISHED
Object 1 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: 1 | Statement: [Thailand administrative divisions, hasNumberOfSpecialAdministrativeAreas, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfSpecialAdministrativeAreas
Context triple: [Thailand administrative divisions, hasNumberOfSpecialAdministrativeAreas, 1]
  • A. includesSpecialAdministrativeRegion
    Indicates that one administrative or political entity contains within its jurisdiction a designated special administrative region.
  • B. specialAdministrativeRegion
    Indicates that one region holds a distinct administrative status with a high degree of autonomy under the sovereignty of a larger state.
  • C. connectsSpecialAdministrativeRegion
    Indicates a relationship where one entity is linked or associated specifically with a special administrative region.
  • D. numberOfMainlandTerritories
    Indicates the count of distinct mainland territorial units associated with a given entity.
  • E. isMainlandTerritoryOf
    Indicates that a territory constitutes the primary continental landmass belonging to a particular country or sovereign entity.
  • F. None of above. chosen

Provenance (4 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_69eecda481d08190aea69f2f7c745f56 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
PDg Predicate description generation batch_69f72920c6208190aa4aba6cb6193109 completed May 3, 2026, 10:53 a.m.
Created at: April 27, 2026, 3:39 a.m.