Triple
T18749295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GOW |
E458484
|
entity |
| Predicate | airlineOperationalStatus |
P68339
|
FINISHED |
| Object | ceased operations |
—
|
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: ceased operations | Statement: [GOW, airlineOperationalStatus, ceased operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineOperationalStatus Context triple: [GOW, airlineOperationalStatus, ceased operations]
-
A.
airlineStatus
chosen
Indicates the current operational or membership state of an airline, such as its activity, certification, or alliance standing.
-
B.
airlineOperationsType
Indicates the type or category of operational activities an airline conducts (e.g., passenger, cargo, charter, or mixed services).
-
C.
IATAStatus
Indicates the current operational or membership status of an entity with respect to the International Air Transport Association (IATA).
-
D.
aircraftStatus
Indicates the current operational condition or state of an aircraft (e.g., active, grounded, in maintenance, or decommissioned).
-
E.
airportStatus
Indicates the current operational condition or state of an airport (e.g., open, closed, delayed, restricted).
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579eb7350819099d7291207781116 |
completed | April 20, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.