Triple
T7716143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MEA |
E174887
|
entity |
| Predicate | operatingAirlineIATACode |
P78299
|
FINISHED |
| Object | ME |
—
|
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: ME | Statement: [MEA, operatingAirlineIATACode, ME]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatingAirlineIATACode Context triple: [MEA, operatingAirlineIATACode, ME]
-
A.
associatedAirlineICAOCode
Indicates the ICAO airline code that is linked to or used by the given entity (such as a flight, route, or service).
-
B.
aircraftOperator
Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
-
C.
primaryAircraftOperator
Indicates that one entity is the main organization or individual responsible for operating a particular aircraft.
-
D.
servesAirline
Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
-
E.
operatedForAirline
Indicates that an aircraft or flight was operated on behalf of, or under the branding of, a particular airline.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c702e9a32081909a153190a62af426 |
completed | March 27, 2026, 10:21 p.m. |
Created at: March 27, 2026, 4:04 p.m.