Triple
T18739447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICC T20I Team Rankings |
E458251
|
entity |
| Predicate | introducedForFormat |
P3018
|
FINISHED |
| Object | T20I cricket, the shortest international format |
—
|
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: T20I cricket, the shortest international format | Statement: [ICC T20I Team Rankings, introducedForFormat, T20I cricket, the shortest international format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedForFormat Context triple: [ICC T20I Team Rankings, introducedForFormat, T20I cricket, the shortest international format]
-
A.
formatIntroduced
Indicates that a particular format was first introduced or made available at a specific time or in a specific context.
-
B.
introducedFor
chosen
Indicates that one entity was presented or brought to the attention of another entity for a specific purpose or role.
-
C.
introducedFrom
Indicates that one entity was brought, originated, or caused to appear in a context, system, or environment by another entity.
-
D.
introducedWithVersion
Indicates that something first became available or was added starting from a specific version.
-
E.
introducedForModel
Indicates that one entity was created, proposed, or brought into use specifically for application within a particular model.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768ca990819098102f8522ce401f |
completed | April 20, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.