Triple
T33861637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auburn Town Meeting |
E867938
|
entity |
| Predicate | participationMethod |
P11584
|
FINISHED |
| Object | public debate and voting by residents |
—
|
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: public debate and voting by residents | Statement: [Auburn Town Meeting, participationMethod, public debate and voting by residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participationMethod Context triple: [Auburn Town Meeting, participationMethod, public debate and voting by residents]
-
A.
participationModel
chosen
Indicates how entities are involved in or contribute to an activity, process, or interaction.
-
B.
participation
Indicates that an entity takes part in, contributes to, or is involved in a shared activity, event, or process with others.
-
C.
participationIncludes
Indicates that a broader participation instance encompasses or contains a more specific participation instance as part of it.
-
D.
allowsParticipationIn
Indicates that one entity grants another entity the right or permission to take part in a specific activity, event, or process.
-
E.
electoralParticipationMode
Indicates the manner or method by which an entity takes part in an electoral process (e.g., voting in person, by mail, or electronically).
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 1, 2026, 1:47 a.m.