Triple
T46696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2002 Commonwealth Games |
E915
|
entity |
| Predicate | numberOfAthletes |
P1131
|
FINISHED |
| Object | about 3900 |
—
|
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: about 3900 | Statement: [2002 Commonwealth Games, numberOfAthletes, about 3900]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAthletes Context triple: [2002 Commonwealth Games, numberOfAthletes, about 3900]
-
A.
hasNumberOfStudentAthletes
Indicates the relationship that specifies how many student athletes are associated with a given entity.
-
B.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
C.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
-
D.
numberOfPositions
Indicates the total count of distinct positions or roles associated with a given entity.
-
E.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or entity.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b1bf2c081908f20e13939b713ff |
completed | Feb. 28, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69a24abd07508190a83ffba5368c1c79 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.