Triple
T666078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heathrow Airport |
E12863
|
entity |
| Predicate | majorRole |
P14496
|
FINISHED |
| Object | global aviation hub |
—
|
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: global aviation hub | Statement: [Heathrow Airport, majorRole, global aviation hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorRole Context triple: [Heathrow Airport, majorRole, global aviation hub]
-
A.
majorUse
Indicates that something serves as the primary or most significant use or application of an entity.
-
B.
role
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
C.
hasMainRole
chosen
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
D.
majorFamily
Indicates that one entity belongs to or is a primary member of the same family group or lineage as another entity.
-
E.
majorSect
Indicates that one religious sect is the primary, dominant, or most influential branch within a broader religious tradition or context.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd4f4988190a0973ceb7329b4c9 |
completed | March 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69a49d16cff881908c8d2c3fe4d1d6fb |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.