Triple
T920150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanshin Tigers |
E19863
|
entity |
| Predicate | notableCulture |
P1579
|
FINISHED |
| Object | intense media coverage in Kansai |
—
|
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: intense media coverage in Kansai | Statement: [Hanshin Tigers, notableCulture, intense media coverage in Kansai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCulture Context triple: [Hanshin Tigers, notableCulture, intense media coverage in Kansai]
-
A.
hasCulturalSignificanceFor
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
-
B.
notableCategory
Indicates that an entity is recognized as notable or significant within a particular category or classification.
-
C.
culturalSphere
Indicates that one entity belongs to, is influenced by, or participates in the cultural domain, tradition, or milieu defined by another entity.
-
D.
hasCulturalSignificance
chosen
Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
-
E.
culturalExport
Indicates that something originating in one culture is transmitted, adopted, or influential in another culture or region.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.