Triple
T563471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengal Army |
E13502
|
entity |
| Predicate | reasonForReform |
P6009
|
FINISHED |
| Object | widespread mutiny of sepoy units in 1857 |
—
|
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: widespread mutiny of sepoy units in 1857 | Statement: [Bengal Army, reasonForReform, widespread mutiny of sepoy units in 1857]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForReform Context triple: [Bengal Army, reasonForReform, widespread mutiny of sepoy units in 1857]
-
A.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
B.
notableReform
Indicates that an entity is recognized for having initiated, led, or been central to a significant reform or transformative change in a system, policy, or institution.
-
C.
reasonForChange
chosen
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
D.
reasonForAbolition
Indicates the cause, justification, or circumstances that led to something being formally ended or abolished.
-
E.
perceptionByReformers
Indicates how something is viewed, interpreted, or judged by individuals or groups advocating for reform.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a712bc48190ba298b3c76ab11cc |
completed | March 1, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69a494c044648190a98589ab18935216 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.