Triple
T23940053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Lazarevac Assembly |
E602756
|
entity |
| Predicate | hasMeetings |
P154436
|
FINISHED |
| Object | regular sessions |
—
|
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: regular sessions | Statement: [Municipality of Lazarevac Assembly, hasMeetings, regular sessions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeetings Context triple: [Municipality of Lazarevac Assembly, hasMeetings, regular sessions]
-
A.
hasMeeting
Indicates that one entity is scheduled to participate in or hold a meeting with another entity or at a specific time or place.
-
B.
hasMeetingSchedule
Indicates that an entity has an associated plan or timetable specifying when meetings are to occur.
-
C.
meetingsAre
Indicates that certain entities function as or are classified as meetings in relation to one another.
-
D.
meetingsWere
Indicates that one or more meetings occurred or were held between the referenced entities.
-
E.
hasPrimaryMeeting
Indicates that an entity is associated with its main or most important meeting, distinguishing it from other meetings it may have.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cfa40398819095e24521f3bf8622 |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:09 p.m.