Triple
T21663740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandimandir Cantonment |
E534656
|
entity |
| Predicate | commandArea |
P32961
|
FINISHED |
| Object | Western theatre of Indian Army operations |
—
|
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: Western theatre of Indian Army operations | Statement: [Chandimandir Cantonment, commandArea, Western theatre of Indian Army operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandArea Context triple: [Chandimandir Cantonment, commandArea, Western theatre of Indian Army operations]
-
A.
commandedRegion
chosen
Indicates that one entity had authoritative control or command over a specific geographic region.
-
B.
panelArea
Indicates the total surface area covered or occupied by a specific panel.
-
C.
areaCControl
Indicates that an entity exercises control or authority over a specific geographic area or region.
-
D.
areaComponent
Indicates that one area is a constituent or sub-area that forms part of a larger area.
-
E.
areaAControl
Indicates that one entity exercises control or authority over a specified area or region.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0a2a58819086db5b5c1c0f3371 |
completed | April 27, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.