Triple
T7548910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2026 Commonwealth Games |
E178477
|
entity |
| Predicate | originalPlannedSportsCount |
P13801
|
FINISHED |
| Object | 20+ |
—
|
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: 20+ | Statement: [2026 Commonwealth Games, originalPlannedSportsCount, 20+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPlannedSportsCount Context triple: [2026 Commonwealth Games, originalPlannedSportsCount, 20+]
-
A.
numberPlanned
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
-
B.
numberOfGamesScheduled
Indicates the total count of games that have been planned or arranged for a given entity or time period.
-
C.
numberOfSports
Indicates the quantity of distinct sports associated with or involved in a given entity.
-
D.
sportsCount
chosen
Indicates the number of sports associated with or involved in a given entity or context.
-
E.
sportNumber
Indicates the specific jersey or uniform number associated with an athlete in a sporting context.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89b9afc8190b3e61a8e2cea7ad7 |
completed | March 27, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69c6f4daad6c8190af2b8ae88d2c8cb7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:49 p.m.