Triple
T8601710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1000 m speed skating at the 1998 Winter Olympics |
E203691
|
entity |
| Predicate | venue |
P373
|
FINISHED |
| Object | M-Wave |
E734667
|
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: M-Wave | Statement: [1000 m speed skating at the 1998 Winter Olympics, venue, M-Wave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-Wave Context triple: [1000 m speed skating at the 1998 Winter Olympics, venue, M-Wave]
-
A.
M-Wave
chosen
M-Wave is an indoor speed skating arena in Nagano, Japan, best known for hosting the speed skating events at the 1998 Winter Olympics.
-
B.
Wellen
Wellen is a municipality in the Belgian province of Limburg, known for its rural character and fruit-growing landscape.
-
C.
MWA
MWA is the commonly used abbreviation for Mystery Writers of America, a prominent organization dedicated to crime and mystery writers.
-
D.
Marcel Wave
Marcel Wave is a flamboyant, camp hairdresser character created and performed by British comedian and DJ Kenny Everett on his television shows.
-
E.
Waves
"Waves" is a melodic, gospel-influenced hip-hop song by Kanye West featuring Chris Brown and Kid Cudi, known for its soaring chorus and spiritual themes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46da609881909a6d851915e8df14 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f13f7081908317c1b2d87a51b2 |
completed | April 2, 2026, 5:35 p.m. |
Created at: March 30, 2026, 6:24 p.m.