Triple
T13472013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Tennent Airport |
E311650
|
entity |
| Predicate | hadControlTower |
P7890
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [William Tennent Airport, hadControlTower, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadControlTower Context triple: [William Tennent Airport, hadControlTower, no]
-
A.
hasControlTower
chosen
Indicates that one entity possesses, hosts, or is equipped with a control tower that manages or oversees its operations.
-
B.
hasTower
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
C.
hasControlledAirspace
Indicates that a specified location or region falls within airspace where aircraft operations are regulated and managed by an aviation authority.
-
D.
hasRocketTower
Indicates that an entity possesses or is equipped with a rocket-firing tower structure.
-
E.
hasTowerPosition
Indicates that an entity occupies or is assigned a specific position or location within a tower.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf22e5f88190b1078f006c8ef7c0 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.