Triple
T36845003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSLV-D2 |
E910518
|
entity |
| Predicate | developmentalFlightNumber |
P195113
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [PSLV-D2, developmentalFlightNumber, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developmentalFlightNumber Context triple: [PSLV-D2, developmentalFlightNumber, 2]
-
A.
flightNumberInProgram
Indicates that a specific flight is associated with, or belongs to, a particular program or schedule under a given flight number.
-
B.
hasFlightNumber
Indicates that a specific flight is identified or labeled by a particular flight number.
-
C.
ICAOFlightNumber
Indicates that a specific ICAO-designated airline operates a particular flight identified by its ICAO flight number.
-
D.
vehicleFlightNumber
Indicates the specific flight number associated with a given vehicle (such as an aircraft) in an air transport context.
-
E.
wingNumber
Indicates the specific identifier or count assigned to a wing associated with an entity.
- F. None of above. chosen
Provenance (4 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
| PDg | Predicate description generation | batch_69fda4fe67a08190bdaa84ceabd6de6c |
completed | May 8, 2026, 8:55 a.m. |
Created at: May 3, 2026, 4:13 p.m.