Triple
T21631433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | monobob |
E533839
|
entity |
| Predicate | numberOfAthletesPerSled |
P27342
|
FINISHED |
| Object | 1 |
—
|
LITERAL 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: 1 | Statement: [monobob, numberOfAthletesPerSled, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAthletesPerSled Context triple: [monobob, numberOfAthletesPerSled, 1]
-
A.
typicalNumberOfAthletes
chosen
Indicates the usual or average number of athletes associated with or participating in a given context, event, or entity.
-
B.
capacityDuring1998WinterOlympics
Indicates the seating or usage capacity of a venue specifically during the period of the 1998 Winter Olympics.
-
C.
expectedNumberOfAthletes
Indicates the anticipated or planned count of athletes expected to participate in a given context or event.
-
D.
numberOfRiders
Indicates the total count of riders associated with a given entity or event.
-
E.
competitionLengthBobsleigh
Indicates the duration or total length of a bobsleigh competition event.
- F. None of above.
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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5217952c8190910c2103fb4a27d9 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.