Triple
T34943551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Arrow Division |
E1007792
|
entity |
| Predicate | subsequentActivity |
P87912
|
FINISHED |
| Object | participation in later Indian military 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: participation in later Indian military operations | Statement: [Golden Arrow Division, subsequentActivity, participation in later Indian military operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentActivity Context triple: [Golden Arrow Division, subsequentActivity, participation in later Indian military operations]
-
A.
laterActivity
Indicates that one activity occurs after another in time, establishing a temporal ordering between them.
-
B.
subsequentAction
chosen
Indicates that one action occurs after another in time, following it as a later step or consequence.
-
C.
subsequentCase
Indicates that one legal case follows another in time or procedural order, often relying on or referencing the earlier case.
-
D.
subsequentEntity
Indicates that one entity occurs or appears after another entity in a sequence or ordered arrangement.
-
E.
successorAct
Indicates that one action or event directly follows and replaces another in a sequence or process.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.