Triple
T32375938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One and Only |
E827279
|
entity |
| Predicate | hasRegionalSound |
P22084
|
FINISHED |
| Object | Chicago sound |
—
|
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: Chicago sound | Statement: [One and Only, hasRegionalSound, Chicago sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalSound Context triple: [One and Only, hasRegionalSound, Chicago sound]
-
A.
hasSound
chosen
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
hasRegionalVariationsIn
Indicates that something exhibits different forms, versions, or characteristics depending on the geographic region.
-
C.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
D.
containsSound
Indicates that one entity includes, embodies, or produces the sound associated with another entity.
-
E.
hasRegionalEntity
Indicates that one entity includes, governs, or is associated with another entity that functions as its regional subdivision or component.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a02206665508190ae2324d253ccf377 |
completed | May 11, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_6a021fdc6e54819082847bedd97a680b |
completed | May 11, 2026, 6:28 p.m. |
Created at: May 1, 2026, 12:50 a.m.