Triple
T35351061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phanom Rung Historical Park |
E1020879
|
entity |
| Predicate | thaiName |
P63622
|
FINISHED |
| Object | อุทยานประวัติศาสตร์พนมรุ้ง |
—
|
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: อุทยานประวัติศาสตร์พนมรุ้ง | Statement: [Phanom Rung Historical Park, thaiName, อุทยานประวัติศาสตร์พนมรุ้ง]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thaiName Context triple: [Phanom Rung Historical Park, thaiName, อุทยานประวัติศาสตร์พนมรุ้ง]
-
A.
thaiNameMeaning
Indicates that one entity is the meaning or semantic interpretation of a given Thai name.
-
B.
shortNameInThai
Indicates that an entity has a short or abbreviated name expressed in the Thai language.
-
C.
knownAsInThai
chosen
Indicates that an entity is referred to by a specific name or term in the Thai language.
-
D.
hasNameInLao
Indicates that an entity has a specific name expressed in the Lao language.
-
E.
hasNameInBurmese
Indicates that an entity is associated with a specific name expressed in the Burmese language.
- 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_69f76decd95c8190ae428f6a19d535de |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.