Triple
T18570602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Asia Cup |
E453862
|
entity |
| Predicate | groupFormat |
P77912
|
FINISHED |
| Object | single round-robin |
—
|
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: single round-robin | Statement: [2014 Asia Cup, groupFormat, single round-robin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groupFormat Context triple: [2014 Asia Cup, groupFormat, single round-robin]
-
A.
formedGroup
Indicates that multiple entities have come together to create or establish a group or collective unit.
-
B.
groupStructure
Indicates that multiple entities are organized together as a collective unit with some defined internal arrangement or hierarchy.
-
C.
formedAsGroupOf
Indicates that something came into existence by being created or organized as a collection of multiple members acting together as a group.
-
D.
groups
Indicates that one entity organizes, clusters, or associates multiple entities together as members of a collective set or category.
-
E.
formatCategory
chosen
Indicates how an item is classified or grouped according to its format or presentation type.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b01331c8190bec3aba40358a843 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.