Triple
T21931492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOA |
E541576
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Point Grey |
—
|
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: Point Grey | Statement: [MOA, locatedOn, Point Grey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Point Grey Context triple: [MOA, locatedOn, Point Grey]
-
A.
Point Grey
chosen
Point Grey is a prominent headland and residential neighborhood on Vancouver’s west side, known for its coastal bluffs, beaches, and views over English Bay and the Strait of Georgia.
-
B.
Kachia
Kachia is a local government area in Kaduna State, Nigeria, known for its diverse ethnic communities and agricultural activities.
-
C.
EPIC camera
The EPIC camera is a NASA Earth-observing instrument aboard the Deep Space Climate Observatory that continuously images the sunlit side of Earth from the L1 Lagrange point to monitor atmospheric and surface conditions.
-
D.
Camara
Camara is the given name of American actress and model Yaya DaCosta, known for her work in film, television, and fashion.
-
E.
DALSA Corporation
DALSA Corporation is a Canadian company specializing in high-performance digital imaging and semiconductor solutions, particularly known for its industrial cameras and image sensors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123ff16148190843d92bbc1e9bb24 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:47 p.m.