Triple
T26977265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Raichur |
E679491
|
entity |
| Predicate | militaryStrengthShowcased |
P67411
|
FINISHED |
| Object | Vijayanagara Empire |
—
|
NE NERFINISHED |
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: Vijayanagara Empire | Statement: [Battle of Raichur, militaryStrengthShowcased, Vijayanagara Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryStrengthShowcased Context triple: [Battle of Raichur, militaryStrengthShowcased, Vijayanagara Empire]
-
A.
militaryCapabilityInvolved
Indicates that a military capability (such as forces, equipment, or operational assets) participates in or is implicated in a specific event, activity, or situation.
-
B.
warfareCapability
Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
-
C.
stateOfForces
Indicates the condition, disposition, or readiness level of military or organizational forces at a given time.
-
D.
armedForcesInvolved
Indicates that the relationship or event involves the participation or presence of military or armed forces.
-
E.
strengthGovernmentForces
chosen
Indicates the level or degree of military or coercive power held or exerted by government forces in a given 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 6:43 a.m.