Triple
T35561523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3K |
E1027646
|
entity |
| Predicate | isActiveAirlineCode |
P68339
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [3K, isActiveAirlineCode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isActiveAirlineCode Context triple: [3K, isActiveAirlineCode, true]
-
A.
ownsAirline
Indicates that one entity has legal ownership or controlling interest in an airline company.
-
B.
associatedAirlineStatus
Indicates that there is a relationship linking an entity to a specific airline loyalty or membership status.
-
C.
airlineStatus
chosen
Indicates the current operational or membership state of an airline, such as its activity, certification, or alliance standing.
-
D.
hasAirlines
Indicates that one entity (such as an airport, city, or country) is served by or associated with one or more airline operators.
-
E.
servesAirline
Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.