Triple
T23225205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFCAT |
E580994
|
entity |
| Predicate | selectionLeadsTo |
P18658
|
FINISHED |
| Object | commission as officer in Indian Air Force |
—
|
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: commission as officer in Indian Air Force | Statement: [AFCAT, selectionLeadsTo, commission as officer in Indian Air Force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionLeadsTo Context triple: [AFCAT, selectionLeadsTo, commission as officer in Indian Air Force]
-
A.
canLeadTo
chosen
Indicates that one entity, condition, or event has the potential to cause, result in, or bring about another.
-
B.
selectedTo
Indicates that one entity has been chosen or designated from a set of candidates to perform a role, receive something, or participate in an activity in relation to another entity.
-
C.
leadsInto
Indicates that one entity serves as an entry or transition point that directly connects or opens into another entity.
-
D.
selectionMadeBy
Indicates that a particular choice or selection was performed or decided by a specific agent or entity.
-
E.
selectionFrom
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922d30b08190a3c54bab58f5c8e7 |
completed | April 29, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:08 p.m.