Triple
T19017699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAIT Ooks |
E465397
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Ooks |
—
|
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: Ooks | Statement: [NAIT Ooks, shortName, Ooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ooks Context triple: [NAIT Ooks, shortName, Ooks]
-
A.
Ook
chosen
Ook is the mascot of the Northern Alberta Institute of Technology, typically depicted as a spirited owl symbolizing the school’s identity and athletic teams.
-
B.
Ock
Ock is a small river in Oxfordshire, England, that flows through towns such as Wantage and Abingdon before joining the River Thames.
-
C.
Ogies
Ogies is a small mining town in South Africa’s Mpumalanga province, known historically for its coal mining activities and role in the regional energy sector.
-
D.
Ood
The Ood are a telepathic, tentacle-faced alien species from the Doctor Who universe, often depicted as empathic servants whose exploitation raises moral and political questions.
-
E.
Ossa
Ossa is a prominent mountain in Greece, historically significant in Greek mythology and known for its dramatic landscapes.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6dc0f9081909cddc5186603e885 |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.