Triple
T25301265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Korea women's national handball team |
E634349
|
entity |
| Predicate | isAsianHandballPower |
P158367
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [South Korea women's national handball team, isAsianHandballPower, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAsianHandballPower Context triple: [South Korea women's national handball team, isAsianHandballPower, true]
-
A.
AsianChampionshipTitles
Indicates the number of championship titles an entity has won in Asian-level competitions or tournaments.
-
B.
rankByLengthInAsia
Indicates that entities are ordered or compared based on their length within the context of Asia.
-
C.
locatedInAsia
Indicates that the subject entity is geographically situated within the continent of Asia.
-
D.
asiaCupWinner
Indicates that one entity is the champion or winning team of the Asia Cup tournament in a given edition or year.
-
E.
isInSoutheastAsia
Indicates that a place or entity is geographically located within the region of Southeast Asia.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48fd8461c81908e461c9809bbfdbf |
completed | May 1, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f465699c9c8190ac7b4b32b782550c |
completed | May 1, 2026, 8:33 a.m. |
Created at: April 21, 2026, 1:24 p.m.