Triple
T36687544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krishna I |
E905861
|
entity |
| Predicate | majorBattleOrCampaign |
P86120
|
FINISHED |
| Object | campaigns in the Deccan |
—
|
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: campaigns in the Deccan | Statement: [Krishna I, majorBattleOrCampaign, campaigns in the Deccan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorBattleOrCampaign Context triple: [Krishna I, majorBattleOrCampaign, campaigns in the Deccan]
-
A.
militaryCampaignOf
Indicates a relationship where a specific military campaign is conducted by, initiated by, or belongs to a particular military force, state, or commander.
-
B.
militaryCampaigns
chosen
Indicates that an entity conducts, participates in, or is associated with organized military operations or campaigns against another entity or within a specific conflict.
-
C.
battleWasPartOf
Indicates that a specific battle occurred as a component or phase within a larger military campaign, war, or conflict.
-
D.
hasSignificantBattle
Indicates that a major or decisive battle occurred involving the related entities.
-
E.
militaryCampaignsIn
Indicates that a military campaign took place within, or was conducted in, a specified geographic or political area.
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffc704e1e88190884928a6a5c55a87 |
completed | May 9, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69ffc6b483d881908ad872e25fa6abc5 |
completed | May 9, 2026, 11:43 p.m. |
Created at: May 3, 2026, 4:12 p.m.