Triple
T30191058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cary Village Board |
E767483
|
entity |
| Predicate | publicMeetings |
P195275
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cary Village Board, publicMeetings, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicMeetings Context triple: [Cary Village Board, publicMeetings, yes]
-
A.
convenesIn
Indicates that an entity brings together or assembles a group, meeting, or event at a specific place or venue.
-
B.
meetingsAre
Indicates that certain entities function as or are classified as meetings in relation to one another.
-
C.
convenesDuring
Indicates that one entity formally gathers or brings together another entity or group during a specified time period or event.
-
D.
plansMeetingWith
Indicates that one entity arranges or intends to organize a meeting involving another entity.
-
E.
meetsVia
Indicates that two entities come into contact or interact with each other through a specified intermediary medium, channel, or mechanism.
- F. None of above. chosen
Provenance (4 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
| PDg | Predicate description generation | batch_69fdb4544b548190b8971f8055d48caa |
completed | May 8, 2026, 10 a.m. |
Created at: April 29, 2026, 7:28 p.m.