Triple
T879680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Jhansi |
E18997
|
entity |
| Predicate | combatantSide1 |
P375
|
FINISHED |
| Object | forces of Jhansi under Rani Lakshmibai |
—
|
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: forces of Jhansi under Rani Lakshmibai | Statement: [Battle of Jhansi, combatantSide1, forces of Jhansi under Rani Lakshmibai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatantSide1 Context triple: [Battle of Jhansi, combatantSide1, forces of Jhansi under Rani Lakshmibai]
-
A.
conflictSide
chosen
Indicates that an entity participates as a distinct party or faction on one side of a conflict or dispute.
-
B.
countryOfVictoriousSide
Indicates the country to which the winning or victorious side in a conflict, competition, or contest belongs.
-
C.
alliesInWar
Indicates that two or more parties are cooperating as allies on the same side in a specific war or armed conflict.
-
D.
countryOfDefeatedSide
Indicates the country to which the losing or defeated side in a conflict, competition, or confrontation belongs.
-
E.
commandersSide
Indicates that one entity is on the same side, faction, or team as the commander in a conflict or competitive context.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acc9d5f4819087afbb75b6ac3dbf |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8d47c081909b02a53e305ccf7a |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.