Triple
T31506952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nada Kenka Matsuri |
E803841
|
entity |
| Predicate | localCommunitiesInvolved |
P68541
|
FINISHED |
| Object | several neighborhoods of Nada area |
—
|
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: several neighborhoods of Nada area | Statement: [Nada Kenka Matsuri, localCommunitiesInvolved, several neighborhoods of Nada area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localCommunitiesInvolved Context triple: [Nada Kenka Matsuri, localCommunitiesInvolved, several neighborhoods of Nada area]
-
A.
hasLocalCommunities
chosen
Indicates that an entity is associated with or contains smaller, localized community groups within a specific area or region.
-
B.
languageLocalCommunities
Indicates that a language is used, maintained, or holds significance within specific local communities or regions.
-
C.
currentCommunities
Indicates that an entity is presently a member of, associated with, or active within one or more communities.
-
D.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
E.
connectsCommunities
Indicates a relationship in which something links or brings together separate communities, enabling interaction, communication, or shared activity between them.
- 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 30, 2026, 9:47 p.m.