Triple
T29648789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India–Myanmar–Thailand Trilateral Highway |
E756077
|
entity |
| Predicate | keyThaiProvince |
P84396
|
FINISHED |
| Object | Tak Province |
—
|
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: Tak Province | Statement: [India–Myanmar–Thailand Trilateral Highway, keyThaiProvince, Tak Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyThaiProvince Context triple: [India–Myanmar–Thailand Trilateral Highway, keyThaiProvince, Tak Province]
-
A.
baseProvince
Indicates that one administrative or territorial unit serves as the primary or originating province associated with another entity.
-
B.
subdistrictOf
Indicates that one administrative subdistrict is geographically and politically contained within, and is a part of, a larger district.
-
C.
adminProvince
chosen
Indicates that one entity serves as the administrative province or primary provincial jurisdiction for another entity.
-
D.
largestIslandOfThailand
Indicates that the subject is the island which has the greatest area among all islands in Thailand.
-
E.
statusInThailand
Indicates the legal, social, or official standing or condition an entity holds specifically within the context of Thailand.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f66f21ff708190b13e801de63bf603 |
completed | May 2, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:51 p.m.