Triple
T35248219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thao Suranari |
E1018025
|
entity |
| Predicate | annualEventLocation |
P147149
|
FINISHED |
| Object | Nakhon Ratchasima |
—
|
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: Nakhon Ratchasima | Statement: [Thao Suranari, annualEventLocation, Nakhon Ratchasima]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualEventLocation Context triple: [Thao Suranari, annualEventLocation, Nakhon Ratchasima]
-
A.
eventLocationOfNotableActivity
Indicates that a location is the place where a notable or significant activity or event involving the related entity occurred.
-
B.
annualEvent
Indicates that an event occurs once every year on a recurring basis.
-
C.
locationOfEventOrganized
chosen
Indicates the place where a particular organized event is held or takes place.
-
D.
takesPlace
Indicates that an event or action occurs or is situated at a particular time, place, or context.
-
E.
associatedCityEvent
Indicates a relationship where a city is linked to, involved in, or serves as the location for a particular event.
- 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_69f76de407d081909dfc3c419817ae93 |
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, 4:02 p.m.