Triple
T23844774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agni-V |
E591088
|
entity |
| Predicate | firstTestFlightState |
P99342
|
FINISHED |
| Object | Odisha |
—
|
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: Odisha | Statement: [Agni-V, firstTestFlightState, Odisha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTestFlightState Context triple: [Agni-V, firstTestFlightState, Odisha]
-
A.
firstFlightState
chosen
Indicates the state or condition associated with an entity’s first flight event.
-
B.
testPilotOnFirstFlight
Indicates that the person served as the test pilot during the inaugural flight of an aircraft or aerospace vehicle.
-
C.
firstFreeFlightTest
Indicates that the event is the initial instance in which an aircraft, spacecraft, or similar vehicle is flown freely without external constraints or tethering.
-
D.
firstUncrewedTestFlight
Indicates the event of conducting the initial test flight of a vehicle or system without any crew onboard.
-
E.
firstFlightOutcome
Indicates the result or status of an entity’s initial flight attempt or maiden flight event.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c88a4b948190989a261e79b996a6 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:09 p.m.