Triple

T26493570
Position Surface form Disambiguated ID Type / Status
Subject Uttaradit province E669220 entity
Predicate hasProvincialFlower P74596 FINISHED
Object Bodhi flower NE NERFINISHED

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: Bodhi flower | Statement: [Uttaradit province, hasProvincialFlower, Bodhi flower]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProvincialFlower
Context triple: [Uttaradit province, hasProvincialFlower, Bodhi flower]
  • A. hasPrefecturalFlower
    Indicates that a particular prefecture is associated with a designated official flower.
  • B. hasRegionalFlower chosen
    Indicates that a region is associated with a specific flower designated as its symbolic or representative flower.
  • C. hasCityFlower
    Indicates that a particular flower is officially designated as the symbolic flower of a given city.
  • D. hasOfficialStateFlower
    Indicates that a political entity is formally designated as having a particular flower as its official state symbol.
  • E. nationalFlower
    Indicates that a particular flower is officially designated as the national flower of a country 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_69eeb319007081909642b414b114b35a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69fcf825ca7081909d06b0df33eb33f9 completed May 7, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69fcf42160f0819096812a8bf590875e completed May 7, 2026, 8:20 p.m.
Created at: April 27, 2026, 1:06 a.m.