Triple
T38188650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto–Ottawa |
E1005389
|
entity |
| Predicate | hasMajorAirportAtTerminus |
P136541
|
FINISHED |
| Object | Toronto Pearson International Airport |
E14544
|
NE 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: Toronto Pearson International Airport | Statement: [Toronto–Ottawa, hasMajorAirportAtTerminus, Toronto Pearson International Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorAirportAtTerminus Context triple: [Toronto–Ottawa, hasMajorAirportAtTerminus, Toronto Pearson International Airport]
-
A.
hasMajorAirport
Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
-
B.
isMajorCargoAirport
Indicates that an airport primarily handles large volumes of cargo traffic and serves as a significant freight hub.
-
C.
isMajorRegionalAirportFor
Indicates that an airport serves as a primary or significant air travel hub for a particular region.
-
D.
hasPrimaryAirportRole
Indicates that an entity holds the main or principal functional role associated with an airport.
-
E.
isMainAirportStopFor
chosen
Indicates that a given airport serves as the primary or principal stop for a specified route, service, or transportation connection.
- F. None of above.
Provenance (4 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_69f76dbc22c481908139b694ffde7a0c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a417b3da5ec8190a13583b86eb5b3ac |
completed | June 28, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:29 p.m.