Triple
T35847348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Courts of Thailand |
E1036248
|
entity |
| Predicate | hasRegionalCourtsIn |
P52053
|
FINISHED |
| Object | various military regions 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: various military regions of Thailand | Statement: [Military Courts of Thailand, hasRegionalCourtsIn, various military regions of Thailand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalCourtsIn Context triple: [Military Courts of Thailand, hasRegionalCourtsIn, various military regions of Thailand]
-
A.
isRegionalJurisdictionOf
Indicates that one entity functions as the governing or administrative authority over a specific geographic region or area.
-
B.
regionalCourt
chosen
Indicates that a court operates at a regional level within a larger judicial or administrative system.
-
C.
isCentralJurisdictionOf
Indicates that a jurisdiction serves as the primary or main governing authority for a specified area, system, or set of entities.
-
D.
numberOfRegionalCourts
Indicates the total count of regional courts associated with a given entity.
-
E.
hasCourts
Indicates that an entity possesses, contains, or is equipped with one or more courts (e.g., legal, sports, or judicial facilities).
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.