Triple
T28985361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | speed skating at the 1998 Winter Olympics |
E734666
|
entity |
| Predicate | eventForWomen |
P89886
|
FINISHED |
| Object | 500 m women |
—
|
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: 500 m women | Statement: [speed skating at the 1998 Winter Olympics, eventForWomen, 500 m women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventForWomen Context triple: [speed skating at the 1998 Winter Olympics, eventForWomen, 500 m women]
-
A.
eventsForWomen
chosen
Indicates that the associated events are intended for, targeted at, or specifically involve women.
-
B.
eventsForMen
Indicates that the associated events are specifically designated for male participants.
-
C.
womenMainEventParticipants
Indicates that the referenced entities are participants in a main event specifically designated for women.
-
D.
eveCelebrationOn
Indicates that an event or entity is engaged in or associated with a celebration occurring on a specific date or occasion.
-
E.
womenEdition
Indicates that something is a version, issue, or release specifically tailored for or dedicated to women.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 9:14 a.m.