Triple
T7827959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFC Cup |
E181292
|
entity |
| Predicate | introducedZonalFormat |
P30843
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [AFC Cup, introducedZonalFormat, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedZonalFormat Context triple: [AFC Cup, introducedZonalFormat, 2017]
-
A.
zoneSystemIntroduced
chosen
Indicates that a particular zone-based system has been formally brought into use or implemented.
-
B.
zonedTo
Indicates that one entity is assigned or designated to fall within the jurisdiction, service area, or regulatory zone of another entity.
-
C.
timeZoneDatabaseFormat
Indicates that the relationship specifies the time zone using a standardized database format (such as the IANA/Olson time zone identifier).
-
D.
supportsZoneSystem
Indicates that one entity provides compatibility with or implementation of a specific zone-based system used by another entity.
-
E.
zoneType
Indicates the classification or category of a zone that specifies its type or functional designation.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04a97d748190b1924890b1328bf1 |
completed | March 30, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:43 p.m.