Triple
T360983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T5 |
E7849
|
entity |
| Predicate | isMajorTerminalFor |
P1179
|
FINISHED |
| Object | British Airways long-haul flights |
—
|
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: British Airways long-haul flights | Statement: [T5, isMajorTerminalFor, British Airways long-haul flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorTerminalFor Context triple: [T5, isMajorTerminalFor, British Airways long-haul flights]
-
A.
isMajorIndexOf
Indicates that one entity serves as the primary or major index reference for locating, organizing, or identifying another entity.
-
B.
isMajorRouteFor
chosen
Indicates that something serves as a primary or heavily used pathway or channel for the movement or flow of something else.
-
C.
hasMajorPort
Indicates that a location possesses a primary, significant seaport used for major commercial or transportation activities.
-
D.
otherMajorTerminal
Indicates that an entity is associated with a different primary terminal or endpoint than the one currently referenced or considered.
-
E.
isDestinationFor
Indicates that one entity serves as the endpoint or target location that another entity is intended to reach or be directed toward.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebce64c88190a0a8edcc7095f78b |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95aeed48190b5e48865cc964938 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.