Triple
T8499187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modibo Keita International Airport |
E201171
|
entity |
| Predicate | hasControlFacility |
P7890
|
FINISHED |
| Object | air traffic control tower |
—
|
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: air traffic control tower | Statement: [Modibo Keita International Airport, hasControlFacility, air traffic control tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasControlFacility Context triple: [Modibo Keita International Airport, hasControlFacility, air traffic control tower]
-
A.
hasControlTower
chosen
Indicates that one entity possesses, hosts, or is equipped with a control tower that manages or oversees its operations.
-
B.
hasPhysicalControl
Indicates that one entity currently exercises direct, tangible control or possession over another entity or object.
-
C.
hasControlCab
Indicates that an entity is equipped with or includes a control cab used for operating or controlling it.
-
D.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
E.
hasCoreFacility
Indicates that an entity possesses, hosts, or is equipped with a central, shared facility that supports key operations or services.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5984d7481908c41c57bef9cf254 |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:14 p.m.