Triple
T7325930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taoyuan Leopards |
E168874
|
entity |
| Predicate | hasInternationalAttention |
P5080
|
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, hasInternationalAttention, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalAttention Context triple: [Taoyuan Leopards, hasInternationalAttention, yes]
-
A.
haveInternationalRecognition
Indicates that an entity is formally acknowledged or accepted by the international community or by official bodies across multiple countries.
-
B.
isHumanOfInterest
Indicates that the person is considered noteworthy, relevant, or significant within a particular context or analysis.
-
C.
mediaAttentionLevel
chosen
Indicates the degree or intensity of attention or coverage that media outlets give to a particular subject or entity.
-
D.
hasGeopoliticalInterest
Indicates that one entity has strategic, political, or economic stakes or concerns regarding another entity or geographic area.
-
E.
hasInternationalStatus
Indicates that an entity holds a recognized status, role, or standing at the international level rather than being limited to a single country or local jurisdiction.
- 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.