Triple
T7325942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taoyuan Leopards |
E168874
|
entity |
| Predicate | hasImportPlayers |
P21278
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Taoyuan Leopards, hasImportPlayers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImportPlayers Context triple: [Taoyuan Leopards, hasImportPlayers, yes]
-
A.
acquiredPlayersFrom
Indicates that one entity obtained players from another entity, typically through a transfer, trade, or purchase.
-
B.
canLoanPlayersTo
Indicates that one entity has the authority or ability to temporarily transfer its players to another entity.
-
C.
allowsForeignPlayers
chosen
Indicates that an entity permits participation or involvement by players who are from foreign countries or outside its primary jurisdiction.
-
D.
featuresPlayersFrom
Indicates that something (such as a work, event, or production) includes or showcases players originating from a specified source, group, or location.
-
E.
hasRetiredPlayersFrom
Indicates that an entity has players who previously played for it and have since retired, originating from the specified source entity (e.g., team, league, or country).
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a612c08190b7a3fefa811bbcec |
completed | March 27, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69c6e77230048190b2c29ca6b3a65b8e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:03 p.m.