Triple
T7325941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taoyuan Leopards |
E168874
|
entity |
| Predicate | playsInIndoorArena |
P75342
|
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, playsInIndoorArena, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsInIndoorArena Context triple: [Taoyuan Leopards, playsInIndoorArena, yes]
-
A.
primaryIndoorArena
Indicates that one entity serves as the main indoor arena or principal covered sports/entertainment venue for another entity.
-
B.
mainIndoorArena
Indicates that one entity serves as the primary indoor arena or main covered venue associated with another entity.
-
C.
homeArenaAlternateName
Indicates that an entity’s home arena is known by an alternate or secondary name.
-
D.
playedInArena
Indicates that an entity (typically a performer or team) participated in an event that took place within a specific arena.
-
E.
homeBasketballArena
Indicates that a specified basketball arena serves as the home venue for a particular team or organization.
- 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_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. |
| PDg | Predicate description generation | batch_69c6e80ae5688190ac3d6c1bdf9532f0 |
completed | March 27, 2026, 8:26 p.m. |
Created at: March 27, 2026, 3:03 p.m.