Triple
T4844885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belmont Town Meeting |
E108263
|
entity |
| Predicate | meetingsAre |
P59735
|
FINISHED |
| Object | open to the public |
—
|
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: open to the public | Statement: [Belmont Town Meeting, meetingsAre, open to the public]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetingsAre Context triple: [Belmont Town Meeting, meetingsAre, open to the public]
-
A.
meetingType
Indicates the specific category or format of a meeting that characterizes how it is organized or conducted.
-
B.
meetsVia
Indicates that two entities come into contact or interact with each other through a specified intermediary medium, channel, or mechanism.
-
C.
meets
Indicates that two or more entities come together at the same place and time, typically for interaction or a shared purpose.
-
D.
hasMeeting
Indicates that one entity is scheduled to participate in or hold a meeting with another entity or at a specific time or place.
-
E.
meetsBy
Indicates that one entity encounters or comes together with another entity, typically at a specific time or place.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dfff1488190a32bbb615bfab970 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:25 p.m.