Triple
T35256549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalasin |
E1018245
|
entity |
| Predicate | regionOfThailand |
P195434
|
FINISHED |
| Object | Northeastern region of Thailand |
—
|
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: Northeastern region of Thailand | Statement: [Kalasin, regionOfThailand, Northeastern region of Thailand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfThailand Context triple: [Kalasin, regionOfThailand, Northeastern region of Thailand]
-
A.
primaryRegionInThailand
chosen
Indicates that the subject entity is located in, based in, or primarily associated with a specified region within Thailand.
-
B.
subdistrictOf
Indicates that one administrative subdistrict is geographically and politically contained within, and is a part of, a larger district.
-
C.
largestIslandOfThailand
Indicates that the subject is the island which has the greatest area among all islands in Thailand.
-
D.
regionOfJapan
Indicates that one entity is a geographic region that is part of, or located within, Japan.
-
E.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
- 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_69ffb69812808190a751853b30183e65 |
completed | May 9, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69ffb63bdda88190a9dd8426dc0bad43 |
completed | May 9, 2026, 10:33 p.m. |
Created at: May 3, 2026, 4:02 p.m.