Triple
T13165703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 Winter Paralympics |
E312843
|
entity |
| Predicate | mainVenue |
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: [1998 Winter Paralympics, mainVenue, M-Wave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-Wave Context triple: [1998 Winter Paralympics, mainVenue, 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.
Sounwave
Sounwave is an American record producer best known for his extensive work with Kendrick Lamar and contributions to critically acclaimed hip-hop albums.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0bf5a48190bf245dceee24b579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf6c9ec8190bc0097d62e57e52a |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.