Triple
T22356482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Force Academy |
E552664
|
entity |
| Predicate | previousStateFormationContext |
P30469
|
FINISHED |
| Object | formerly in Andhra Pradesh before Telangana formation |
—
|
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: formerly in Andhra Pradesh before Telangana formation | Statement: [Air Force Academy, previousStateFormationContext, formerly in Andhra Pradesh before Telangana formation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousStateFormationContext Context triple: [Air Force Academy, previousStateFormationContext, formerly in Andhra Pradesh before Telangana formation]
-
A.
stateBeforeFormation
Indicates a relationship where one state or condition existed prior to the formation or creation of another entity or state.
-
B.
predecessorStateForm
Indicates that one state form directly precedes another in a temporal or historical sequence.
-
C.
formerState
chosen
Indicates that an entity previously held the status or condition of a particular state but no longer does so.
-
D.
previousStateName
Indicates the name of the state that immediately preceded the current state in a process or state transition.
-
E.
predecessorStateContext
Indicates that one state serves as the immediately preceding state within a given contextual sequence or process.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d08b148190a9a4e445e8579219 |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.