Triple
T27097339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istanbul Atatürk Airport |
E686340
|
entity |
| Predicate | mostCommercialTrafficMovedTo |
P115244
|
FINISHED |
| Object | Istanbul Airport |
—
|
NE NERFINISHED |
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: Istanbul Airport | Statement: [Istanbul Atatürk Airport, mostCommercialTrafficMovedTo, Istanbul Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostCommercialTrafficMovedTo Context triple: [Istanbul Atatürk Airport, mostCommercialTrafficMovedTo, Istanbul Airport]
-
A.
commercialTrafficTransferredTo
chosen
Indicates that responsibility for handling commercial traffic is moved from one entity to another.
-
B.
commercialTrafficEnded
Indicates that commercial traffic or business-related movement between entities has ceased or been terminated.
-
C.
handlesMostPassengerTrafficOf
Indicates that one entity is responsible for managing the largest share of passenger traffic associated with another entity, compared to all similar entities.
-
D.
majorTrafficSource
Indicates that one entity serves as the primary or most significant source of traffic (e.g., visitors, data, or network requests) for another entity.
-
E.
trafficServed
Indicates that a system, component, or entity handles, processes, or carries a specified amount or type of traffic (e.g., network, data, or user requests).
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623b1d8b48190ae71d57f60d2e327 |
completed | May 2, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:45 a.m.