Triple
T4762693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabaddi |
E105732
|
entity |
| Predicate | majorVariant |
P4680
|
FINISHED |
| Object | circle style kabaddi |
—
|
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: circle style kabaddi | Statement: [Kabaddi, majorVariant, circle style kabaddi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorVariant Context triple: [Kabaddi, majorVariant, circle style kabaddi]
-
A.
primaryVariant
Indicates that one entity is the main or canonical version among multiple related variants of another entity.
-
B.
majorVersion
Indicates that one entity specifies or corresponds to the primary (major) version number of another entity in a versioning scheme.
-
C.
variant
chosen
Indicates that one entity is an alternative form, version, or variation of another entity.
-
D.
primaryVariantInService
Indicates that a particular variant is the main or default version currently active or in use within a given service or system.
-
E.
famousVariant
Indicates that one entity is a well-known or widely recognized version or form of another 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.