Triple
T5721552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Oak Park Board of Trustees |
E126156
|
entity |
| Predicate | openMeetingsLaw |
P11970
|
FINISHED |
| Object | subject to Illinois Open Meetings Act |
—
|
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: subject to Illinois Open Meetings Act | Statement: [Village of Oak Park Board of Trustees, openMeetingsLaw, subject to Illinois Open Meetings Act]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openMeetingsLaw Context triple: [Village of Oak Park Board of Trustees, openMeetingsLaw, subject to Illinois Open Meetings Act]
-
A.
openMeetingsRequirement
chosen
Indicates that certain meetings must be accessible to the public or non-participants, rather than being held in private or closed session.
-
B.
meetingsAre
Indicates that certain entities function as or are classified as meetings in relation to one another.
-
C.
convenesIn
Indicates that an entity brings together or assembles a group, meeting, or event at a specific place or venue.
-
D.
convenesDuring
Indicates that one entity formally gathers or brings together another entity or group during a specified time period or event.
-
E.
convenesOn
Indicates that an event, group, or body holds a meeting or session at a specific time or date.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.