Triple
T22066838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talbot County Courthouse |
E545292
|
entity |
| Predicate | typicalMeetingLocationFor |
P50741
|
FINISHED |
| Object | public governmental meetings in Talbot County |
—
|
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 governmental meetings in Talbot County | Statement: [Talbot County Courthouse, typicalMeetingLocationFor, public governmental meetings in Talbot County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMeetingLocationFor Context triple: [Talbot County Courthouse, typicalMeetingLocationFor, public governmental meetings in Talbot County]
-
A.
meetingPlaceOf
chosen
Indicates the location where a particular meeting or gathering takes place or is held for the referenced entities.
-
B.
traditionalMeetingPlace
Indicates that a location is customarily used as a gathering spot for meetings or social interactions according to established tradition.
-
C.
hasMeetingLocation
Indicates that an entity (such as a meeting or event) takes place at or is associated with a specific location.
-
D.
typicalUseLocation
Indicates the usual or most common location where an entity is used or operates.
-
E.
capitalOfMeetingPlace
Indicates that a location serves as the capital city where a particular meeting or set of meetings takes place.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12884937c819095d3af69123fa2cb |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.