Triple
T4415169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha's Vineyard Airport |
E94950
|
entity |
| Predicate | typicalTrafficPattern |
P29452
|
FINISHED |
| Object | seasonal peak in summer |
—
|
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: seasonal peak in summer | Statement: [Martha's Vineyard Airport, typicalTrafficPattern, seasonal peak in summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTrafficPattern Context triple: [Martha's Vineyard Airport, typicalTrafficPattern, seasonal peak in summer]
-
A.
hasTrafficPattern
chosen
Indicates that there is a characteristic or recurring flow of traffic associated with an entity, such as its typical volume, direction, or timing of movement.
-
B.
airTraffic
Indicates the movement and flow of aircraft through airspace, including their routes, density, and interactions while in flight.
-
C.
trafficSeparation
Indicates a relationship where movement or flow is organized into distinct, non-overlapping paths or zones to prevent interference or collisions.
-
D.
flightRules
Indicates the regulatory or procedural rules that govern how a flight must be conducted or operated.
-
E.
navigationClearanceType
Indicates the specific type or category of clearance granted for a navigation-related operation or movement.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354eabb2481908ad10d21e1379e7f |
completed | March 13, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.