Triple
T3448261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengal European Regiment |
E72727
|
entity |
| Predicate | hasPrimaryTheaterOfOperations |
P710
|
FINISHED |
| Object | Indian subcontinent |
—
|
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: Indian subcontinent | Statement: [Bengal European Regiment, hasPrimaryTheaterOfOperations, Indian subcontinent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryTheaterOfOperations Context triple: [Bengal European Regiment, hasPrimaryTheaterOfOperations, Indian subcontinent]
-
A.
militaryTheater
chosen
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
-
B.
warParticipatedIn
Indicates that an entity took part as a combatant or active participant in a specific war or armed conflict.
-
C.
hasMilitaryPresence
Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
-
D.
militaryConflictOversaw
Indicates that one party had authoritative oversight or command responsibility over a military conflict involving another party.
-
E.
fieldOfOperation
Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba705d988190b76d905751a337ee |
completed | March 8, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.