Triple
T19017720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAIT Ooks |
E465397
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | NAIT Athletics department |
—
|
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: NAIT Athletics department | Statement: [NAIT Ooks, associatedWith, NAIT Athletics department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NAIT Athletics department Context triple: [NAIT Ooks, associatedWith, NAIT Athletics department]
-
A.
NAIT
chosen
NAIT is a leading Canadian polytechnic and applied research institute in Edmonton, Alberta, offering career-focused technical, trades, and business programs.
-
B.
NIT
NIT is a Japanese national university in Nagoya specializing in science, engineering, and technology education and research.
-
C.
NIT
NIT is the common abbreviation for the Nürnberg Ice Tigers, a professional ice hockey team based in Nuremberg, Germany.
-
D.
NIT
NIT is a postseason college basketball tournament in the United States that traditionally features NCAA Division I teams that did not receive bids to the NCAA Tournament.
-
E.
NIT
NIT is a major marine cargo terminal within the Port of Virginia, serving as a key hub for container shipping and logistics.
- 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.