Triple
T4762667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabaddi |
E105732
|
entity |
| Predicate | asianGamesStatus |
P59164
|
FINISHED |
| Object | medal sport |
—
|
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: medal sport | Statement: [Kabaddi, asianGamesStatus, medal sport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: asianGamesStatus Context triple: [Kabaddi, asianGamesStatus, medal sport]
-
A.
AsianChampionshipTitles
Indicates the number of championship titles an entity has won in Asian-level competitions or tournaments.
-
B.
asiaCupWinner
Indicates that one entity is the champion or winning team of the Asia Cup tournament in a given edition or year.
-
C.
olympicGames
Indicates that an entity is an edition or instance of the Olympic Games event.
-
D.
taekwondoStatus
Indicates the status or level of involvement an entity has in taekwondo, such as participation, rank, or progression.
-
E.
OlympicProgramStatus
Indicates whether and how a sport or event is included in the official program of the Olympic Games (e.g., core, provisional, or not included).
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69bd686dc7b88190b41e8a362701080d |
completed | March 20, 2026, 3:31 p.m. |
Created at: March 20, 2026, 1:20 p.m.