Triple
T7708560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LA |
E174686
|
entity |
| Predicate | designatedAirlineType |
P78265
|
FINISHED |
| Object | major airline conglomerate |
—
|
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: major airline conglomerate | Statement: [LA, designatedAirlineType, major airline conglomerate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designatedAirlineType Context triple: [LA, designatedAirlineType, major airline conglomerate]
-
A.
airlineType
Indicates the classification or category of an airline based on its operational or service characteristics.
-
B.
servesAirlineType
Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
-
C.
associatedAirlineType
Indicates a relationship where an airline is linked to a specific classification or type (e.g., carrier category or operational class).
-
D.
iataAircraftTypeCode
Indicates the standardized IATA code that specifies the aircraft type used in a flight or aviation context.
-
E.
airlineCategory
Indicates the classification or type of an airline within a defined categorization system (e.g., full-service, low-cost, regional).
- 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_69c6995b3e8c8190833108f883d5f53c |
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.