Triple
T3889234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Games of the XXVI Olympiad |
E88017
|
entity |
| Predicate | numberOfParticipatingNOCs |
P2436
|
FINISHED |
| Object | 197 |
—
|
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: 197 | Statement: [Games of the XXVI Olympiad, numberOfParticipatingNOCs, 197]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfParticipatingNOCs Context triple: [Games of the XXVI Olympiad, numberOfParticipatingNOCs, 197]
-
A.
numberOfParticipatingCities
Indicates the total count of cities that take part in a specified event, program, or activity.
-
B.
countryParticipation
Indicates that a country takes part in, is involved with, or contributes to a particular event, activity, agreement, or organization.
-
C.
numberOfParticipatingNations
chosen
Indicates the total count of nations that take part in a specified event, activity, or context.
-
D.
OlympicGamesParticipated
Indicates that an entity has taken part as a competitor in one or more editions of the Olympic Games.
-
E.
OlympicStatus
Indicates that an entity holds a particular status or role in relation to the Olympic Games (e.g., being an Olympic sport, event, athlete, or host).
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecaee7148190ada451ccfc6582ee |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.