Triple
T13334830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queen’s Terminal |
E317661
|
entity |
| Predicate | servesAirlinesAlliance |
P109070
|
FINISHED |
| Object | Star Alliance member airlines |
—
|
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: Star Alliance member airlines | Statement: [The Queen’s Terminal, servesAirlinesAlliance, Star Alliance member airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAirlinesAlliance Context triple: [The Queen’s Terminal, servesAirlinesAlliance, Star Alliance member airlines]
-
A.
servesAirlineAlliance
Indicates that an airline operates flights on behalf of, or under the branding of, a specific airline alliance.
-
B.
servesAirlineAllianceViaPrimaryCarrier
Indicates that a service or operation is provided under or on behalf of a specific airline alliance through the alliance’s designated primary carrier.
-
C.
airlineAllianceMembership
Indicates that an airline is a member of a specific airline alliance.
-
D.
airlineAllianceType
Indicates the specific airline alliance or partnership group to which an airline or flight operation belongs.
-
E.
airlineAllianceContext
Indicates the contextual relationship between an airline and its membership or participation status within a specific airline alliance.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99073e4708190843bda3a1ae78f43 |
completed | April 11, 2026, 12:06 a.m. |
Created at: April 9, 2026, 9:30 p.m.