Triple
T18974968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halifax Stanfield International Airport |
E464270
|
entity |
| Predicate | hasTransatlanticFlights |
P5534
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Halifax Stanfield International Airport, hasTransatlanticFlights, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransatlanticFlights Context triple: [Halifax Stanfield International Airport, hasTransatlanticFlights, yes]
-
A.
hasInternationalFlights
Indicates that an airport or airline operates flights connecting to destinations in other countries.
-
B.
hasDomesticFlights
Indicates that an airline or airport operates flights within the same country, connecting domestic destinations.
-
C.
hasLongHaulFlights
chosen
Indicates that an entity (such as an airline, route, or airport) operates or is associated with long-distance flights typically covering intercontinental or extended-duration journeys.
-
D.
hasTypeOfFlights
Indicates that an entity offers, includes, or is associated with specific categories or kinds of flights.
-
E.
hasAirTravelLink
Indicates that there is a direct or established air travel connection (such as flights or air routes) between the related entities.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61e71988190817cada25672a1ce |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon