Triple
T35761651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mecklenburg County Government Center |
E1033590
|
entity |
| Predicate | hasMeetingChambersFor |
P13925
|
FINISHED |
| Object | county commission meetings |
—
|
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: county commission meetings | Statement: [Mecklenburg County Government Center, hasMeetingChambersFor, county commission meetings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeetingChambersFor Context triple: [Mecklenburg County Government Center, hasMeetingChambersFor, county commission meetings]
-
A.
hasChambersFor
chosen
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
B.
hasCouncilChambers
Indicates that an entity possesses or contains designated rooms or facilities used for council meetings or deliberations.
-
C.
hasPlenaryChamber
Indicates that an institution or governing body possesses a designated plenary chamber where all members can meet and deliberate together.
-
D.
isLargerChamberOf
Indicates that one chamber or room has a greater size or capacity than another chamber.
-
E.
isChamber
Indicates that one entity functions as a chamber, room, or enclosed space in relation to another entity.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.