Triple
T30016770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India–Bhutan relations |
E762616
|
entity |
| Predicate | IndianMilitaryTrainingTeamLocation |
P155542
|
FINISHED |
| Object | Haa, Bhutan |
—
|
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: Haa, Bhutan | Statement: [India–Bhutan relations, IndianMilitaryTrainingTeamLocation, Haa, Bhutan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IndianMilitaryTrainingTeamLocation Context triple: [India–Bhutan relations, IndianMilitaryTrainingTeamLocation, Haa, Bhutan]
-
A.
servesAsTrainingBaseFor
chosen
Indicates that one entity functions as a location or facility where another entity receives training or practical preparation.
-
B.
trainingFacilityLocation
Indicates the place or site where a training facility is situated or operates.
-
C.
militaryBranchHeadquarteredOn
Indicates that a particular military branch has its main headquarters located on a specified place or facility.
-
D.
militaryOrganization
Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
-
E.
stateMilitaryUnitOf
Indicates that a military unit is organized, controlled, or officially associated with a particular state or governmental jurisdiction.
- 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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 6:46 p.m.