Triple
T26493569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uttaradit province |
E669220
|
entity |
| Predicate | hasProvincialTree |
P26174
|
FINISHED |
| Object | Bodhi tree |
—
|
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: Bodhi tree | Statement: [Uttaradit province, hasProvincialTree, Bodhi tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProvincialTree Context triple: [Uttaradit province, hasProvincialTree, Bodhi tree]
-
A.
provincialTree
chosen
Indicates that a particular tree species is officially designated as the representative or symbolic tree of a specific province.
-
B.
nationalTree
Indicates that a particular tree species is officially designated as the national tree of a country or region.
-
C.
市の木
Indicates the officially designated tree that represents a particular city.
-
D.
hasRegionalFlower
Indicates that a region is associated with a specific flower designated as its symbolic or representative flower.
-
E.
hasPrefecturalFlower
Indicates that a particular prefecture is associated with a designated official flower.
- 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_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 27, 2026, 1:06 a.m.