Triple
T1010843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nankinmachi Chinatown |
E21817
|
entity |
| Predicate | hasPublicEvent |
P2955
|
FINISHED |
| Object | street performances during festivals |
—
|
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: street performances during festivals | Statement: [Nankinmachi Chinatown, hasPublicEvent, street performances during festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicEvent Context triple: [Nankinmachi Chinatown, hasPublicEvent, street performances during festivals]
-
A.
isPublicEvent
Indicates that an event is open and accessible to the general public rather than restricted to a private or limited audience.
-
B.
hasPublicProgram
Indicates that an entity offers or participates in a program or initiative that is accessible to the general public.
-
C.
hasCulturalEvent
chosen
Indicates that a cultural event (such as a festival, performance, or exhibition) takes place in, is associated with, or is hosted by a given entity.
-
D.
hasEventSpace
Indicates that an entity provides or includes a designated space intended for hosting events.
-
E.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b7203124819091de68cba5f731c1 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.