Triple
T2648863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takatsuki Jazz Street |
E53848
|
entity |
| Predicate | venueScope |
P13939
|
FINISHED |
| Object | throughout the city |
—
|
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: throughout the city | Statement: [Takatsuki Jazz Street, venueScope, throughout the city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venueScope Context triple: [Takatsuki Jazz Street, venueScope, throughout the city]
-
A.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
B.
venueArea
Indicates the physical size or spatial extent of a venue, typically measured in units such as square meters or square feet.
-
C.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
-
D.
participantScope
Indicates the extent, range, or set of participants that are involved in or affected by a given relationship or action.
-
E.
locationScope
chosen
Indicates the specific geographic or spatial area within which a given relationship, condition, or action is considered valid or applicable.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91b4b3c81908571e85a1621dfc5 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.