Triple
T24196887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SU 2003 |
E599858
|
entity |
| Predicate | athletesParticipatingApprox |
P124154
|
FINISHED |
| Object | 7000 |
—
|
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: 7000 | Statement: [SU 2003, athletesParticipatingApprox, 7000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: athletesParticipatingApprox Context triple: [SU 2003, athletesParticipatingApprox, 7000]
-
A.
typicalNumberOfAthletes
Indicates the usual or average number of athletes associated with or participating in a given context, event, or entity.
-
B.
athleteCount
chosen
Indicates the number of athletes associated with a given entity or context.
-
C.
numberOfParticipants
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
D.
athletesFrom
Indicates that one or more athletes originate from, represent, or are associated with a particular place or organization.
-
E.
expectedNumberOfAthletes
Indicates the anticipated or planned count of athletes expected to participate in a given context or 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e24c103481908ea49dd8e77dee32 |
completed | April 29, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.