Triple
T7768690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mackinac Island Airport |
E179013
|
entity |
| Predicate | supports activity |
P2186
|
FINISHED |
| Object | air taxi operations |
—
|
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 taxi operations | Statement: [Mackinac Island Airport, supports activity, air taxi operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supports activity Context triple: [Mackinac Island Airport, supports activity, air taxi operations]
-
A.
supportsActivity
chosen
Indicates that one entity provides the necessary conditions, resources, or environment for another entity’s activity to occur or be sustained.
-
B.
supportedAct
Indicates that one entity provided assistance, endorsement, or backing for a particular action or activity performed by another entity.
-
C.
supportedEvent
Indicates that an entity is capable of recognizing, handling, or being associated with a particular type of event.
-
D.
supportsReach
Indicates that one entity enables, facilitates, or maintains the ability of another entity to extend its influence, access, or coverage to additional targets or areas.
-
E.
supportAgainst
Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:11 p.m.