Triple
T18739433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICC T20I Team Rankings |
E458251
|
entity |
| Predicate | formatSpecificity |
P57165
|
FINISHED |
| Object | separate from ICC ODI Team Rankings |
—
|
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: separate from ICC ODI Team Rankings | Statement: [ICC T20I Team Rankings, formatSpecificity, separate from ICC ODI Team Rankings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatSpecificity Context triple: [ICC T20I Team Rankings, formatSpecificity, separate from ICC ODI Team Rankings]
-
A.
formatSpecialization
chosen
Indicates a relationship where one format is a specialized or more specific version of another, more general format.
-
B.
countrySpecificFormat
Indicates that something follows a format or structure that is specific to, and varies by, a particular country.
-
C.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
formatCharacteristics
Indicates how something is structured, arranged, or presented in terms of its format or layout.
-
E.
formatRequirement
Indicates that one entity specifies the required structure, style, or arrangement that another entity must follow or conform to.
- 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.