Triple
T33258654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmad Shah Bahadur |
E851447
|
entity |
| Predicate | successorStateTrend |
P142477
|
FINISHED |
| Object | rise of regional powers in India |
—
|
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: rise of regional powers in India | Statement: [Ahmad Shah Bahadur, successorStateTrend, rise of regional powers in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorStateTrend Context triple: [Ahmad Shah Bahadur, successorStateTrend, rise of regional powers in India]
-
A.
successorState
Indicates that one state directly follows another as the immediate next state in a sequence or process.
-
B.
continuedTrend
chosen
Indicates that a previously observed pattern or direction in some variable or behavior persists over a subsequent time period without significant change.
-
C.
successorFlagInfluence
Indicates that one entity’s status or behavior as a successor is affected or determined by a flag or indicator associated with another entity.
-
D.
successorStateRelations
Indicates the state transitions that directly follow from a given state, capturing how one state leads to its immediate successor states.
-
E.
successorTractionType
Indicates that one traction type directly follows or replaces another in a sequence or evolution of traction systems.
- 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_69f34963135c819084e7f1d483421f00 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff891e4b9c8190aa86a339a8944496 |
completed | May 9, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69ff8801180c8190b23e20996ca68e0a |
completed | May 9, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:31 a.m.