Triple
T29533812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAC8 |
E749279
|
entity |
| Predicate | associatedWithWaterAerodrome |
P182240
|
FINISHED |
| Object | Nanaimo Harbour Water Airport |
E205628
|
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: Nanaimo Harbour Water Airport | Statement: [CAC8, associatedWithWaterAerodrome, Nanaimo Harbour Water Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithWaterAerodrome Context triple: [CAC8, associatedWithWaterAerodrome, Nanaimo Harbour Water Airport]
-
A.
waterAerodromeType
Indicates the specific classification or category of a water-based aerodrome (such as seaplane base type) associated with an entity.
-
B.
associatedWithWaterways
Indicates a relationship in which something is connected, linked, or relevant to waterways such as rivers, canals, or streams.
-
C.
associatedWithRunways
Indicates a relationship where something (such as an object, facility, or feature) is linked or connected to one or more runways.
-
D.
takeoffAndLandingAid
Indicates assistance or support provided to an aircraft specifically during its takeoff and landing phases.
-
E.
waterAirport
chosen
Indicates that an airport is located on or adjacent to a body of water and is designed to support water-based aircraft operations.
- 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_69f0bd47abb081909bd6e6a33d770fd8 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2713f458b08190874863a15e5a8a47 |
completed | June 8, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 28, 2026, 4:56 p.m.