Triple
T17121277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flight 15P |
E415470
|
entity |
| Predicate | flightDesignation |
P126048
|
FINISHED |
| Object | 15P |
—
|
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: 15P | Statement: [Flight 15P, flightDesignation, 15P]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flightDesignation Context triple: [Flight 15P, flightDesignation, 15P]
-
A.
lastFlightDesignation
Indicates the specific flight identifier assigned to the most recent flight associated with an entity.
-
B.
airlineFleetDesignation
Indicates the specific fleet or operational group within an airline to which an aircraft or service is assigned.
-
C.
airportDesignation
Indicates that an entity is officially designated or classified as an airport.
-
D.
designatedAirlineType
Indicates that an airline has been assigned a specific operational or classification type for a given context or service.
-
E.
ICAOFlightNumber
Indicates that a specific ICAO-designated airline operates a particular flight identified by its ICAO flight number.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e809ee888190a2cf69d59c0b9c20 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6d20808190a38bb32e2294bc48 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:36 a.m.