Triple
T37863045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chetak |
E944386
|
entity |
| Predicate | roleInBattleOfHaldighati |
P204002
|
FINISHED |
| Object | carried Maharana Pratap to safety |
—
|
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: carried Maharana Pratap to safety | Statement: [Chetak, roleInBattleOfHaldighati, carried Maharana Pratap to safety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBattleOfHaldighati Context triple: [Chetak, roleInBattleOfHaldighati, carried Maharana Pratap to safety]
-
A.
sideInBattleOfHaldighati
Indicates participation as a particular side or faction in the Battle of Haldighati.
-
B.
opponentInBattleOfHaldighati
Indicates that two entities stood on opposing sides as adversaries in the Battle of Haldighati.
-
C.
sideInBattleOfPanipat
Indicates participation as a particular side or faction in the Battle of Panipat.
-
D.
roleAtPanipat
Indicates the specific role, position, or function an entity held in relation to the Battle of Panipat.
-
E.
roleInBattleOfPlassey
Indicates the specific role or involvement an entity had in the Battle of Plassey.
- F. None of above. chosen
Provenance (4 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0308a4591081909018e2ba5d70096e |
completed | May 12, 2026, 11:01 a.m. |
| PD | Predicate disambiguation | batch_6a03079299708190a2ecaf14d3f06f48 |
completed | May 12, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_6a0308a3b03c8190b7fc9553afe06cb5 |
completed | May 12, 2026, 11:01 a.m. |
Created at: May 3, 2026, 4:19 p.m.