Triple
T23758307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Longewala |
E587178
|
entity |
| Predicate | airOperationsBase |
P94363
|
FINISHED |
| Object | Jaisalmer air base |
—
|
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: Jaisalmer air base | Statement: [Battle of Longewala, airOperationsBase, Jaisalmer air base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airOperationsBase Context triple: [Battle of Longewala, airOperationsBase, Jaisalmer air base]
-
A.
airCommander
Indicates that an entity serves as the commanding officer or leader of air forces or air operations for another entity.
-
B.
airBaseOperator
chosen
Indicates that one entity operates, manages, or is responsible for running an air base used for aviation activities.
-
C.
involvedAirborneOperations
Indicates that an entity participated in or conducted military operations involving the use of aircraft to deploy or support forces.
-
D.
aircraftOperationType
Indicates the specific manner or purpose for which an aircraft is being operated (e.g., commercial, private, military, training).
-
E.
airborneForces
Indicates that military forces are deployed, transported, or operating via aircraft, typically inserted from the air into an operational 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_69e2490a0eec81908cdef8a862828d7a |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdaf52848190b034208de4c4e01a |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:14 p.m.