Triple
T25645062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Women’s Club Volleyball Championship |
E642936
|
entity |
| Predicate | continentRanking |
P163024
|
FINISHED |
| Object | top women’s club competition in Asia |
—
|
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: top women’s club competition in Asia | Statement: [Asian Women’s Club Volleyball Championship, continentRanking, top women’s club competition in Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentRanking Context triple: [Asian Women’s Club Volleyball Championship, continentRanking, top women’s club competition in Asia]
-
A.
countryRanking
Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
-
B.
countryRankingContext
Indicates the contextual framework or criteria under which a country's ranking is determined or interpreted.
-
C.
rankingInCountry
Indicates the position or level an entity holds within an ordered list specific to a particular country.
-
D.
topRankedScoreCountry
Indicates that a country has the highest (top-ranked) score among a set of countries according to a specified scoring metric.
-
E.
countryRankContext
Indicates the relative position or ranking of a country within a specified contextual framework (such as economic, political, or performance-based criteria).
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 21, 2026, 5:50 p.m.