Triple
T21456901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICC World Test Championship |
E529364
|
entity |
| Predicate | numberOfTeamsVariesByCycle |
P20581
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ICC World Test Championship, numberOfTeamsVariesByCycle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsVariesByCycle Context triple: [ICC World Test Championship, numberOfTeamsVariesByCycle, true]
-
A.
numberOfTeamsVaries
Indicates that the count of teams involved in a given context is not fixed and can change across instances or over time.
-
B.
numberOfTeamsVariesBetween
Indicates that the count of teams involved changes within a specified range or across different instances or conditions.
-
C.
numberOfTeamsVariesByYear
chosen
Indicates that the number of teams involved changes depending on the specific year.
-
D.
numberOfTeamsLater
Indicates that one entity has a greater number of teams than another entity at a later point in time.
-
E.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d7af248190a3bc06a390f390bf |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:08 p.m.