Triple
T27679173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Rupert Airport |
E697861
|
entity |
| Predicate | hasTransportCanadaLocationIdentifier |
P57716
|
FINISHED |
| Object | CYPR |
—
|
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: CYPR | Statement: [Prince Rupert Airport, hasTransportCanadaLocationIdentifier, CYPR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportCanadaLocationIdentifier Context triple: [Prince Rupert Airport, hasTransportCanadaLocationIdentifier, CYPR]
-
A.
hasTransportCanadaIdentifier
chosen
Indicates that an entity is associated with a specific identifier assigned or recognized by Transport Canada.
-
B.
hasTransportCode
Indicates that an entity is associated with a specific transport-related code used to identify or classify its mode, method, or details of transportation.
-
C.
includesCanadianTerritoryPartially
Indicates that one entity geographically encompasses part, but not all, of the territory of Canada.
-
D.
hasNationalLocationCode
Indicates that an entity is associated with a specific national location code that identifies its location within a country’s coding system.
-
E.
hasUNLocode
Indicates that an entity is associated with a specific UN/LOCODE, identifying its location in the United Nations location code system.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: April 27, 2026, 2:45 p.m.