Triple
T26641059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ยี่เป็ง |
E668779
|
entity |
| Predicate | จัดขึ้นเด่นชัดในจังหวัด |
P100087
|
FINISHED |
| Object | เชียงราย |
—
|
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: เชียงราย | Statement: [ยี่เป็ง, จัดขึ้นเด่นชัดในจังหวัด, เชียงราย]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: จัดขึ้นเด่นชัดในจังหวัด Context triple: [ยี่เป็ง, จัดขึ้นเด่นชัดในจังหวัด, เชียงราย]
-
A.
heldInProvince
chosen
Indicates that an event or activity takes place within the boundaries of a specified province.
-
B.
tookPlaceInState
Indicates that an event or occurrence happened within the geographical or political boundaries of a specific state.
-
C.
stationedInProvince
Indicates that an entity is assigned or based in a particular province as its location or area of operation.
-
D.
concentratedInProvince
Indicates that something is primarily located, focused, or densely present within a particular province.
-
E.
operatedVenueProvince
Indicates that an entity operated a venue located within a specified province.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 2:29 a.m.