Triple
T26493570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uttaradit province |
E669220
|
entity |
| Predicate | hasProvincialFlower |
P74596
|
FINISHED |
| Object |
Bodhi flower
The Bodhi flower is a sacred blossom in Buddhism, symbolizing enlightenment and spiritual awakening, and is honored as the provincial flower of Uttaradit province in Thailand.
|
E1729251
|
NE FINISHED |
How this triple was built (3 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]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bodhi flower Triple: [Uttaradit province, hasProvincialFlower, Bodhi flower]
Generated description
The Bodhi flower is a sacred blossom in Buddhism, symbolizing enlightenment and spiritual awakening, and is honored as the provincial flower of Uttaradit province in Thailand.
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 (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11bb2d478c819081a1e44a76c1ca2a |
completed | May 23, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_6a11be60f78c819093363b32bd4e3447 |
completed | May 23, 2026, 2:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11bf9748e88190be2a61f717893a27 |
completed | May 23, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 27, 2026, 1:06 a.m.