Triple
T7697532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Justice of the Peace Courts |
E174405
|
entity |
| Predicate | courtroomLocation |
P50130
|
FINISHED |
| Object | typically located in county or precinct facilities |
—
|
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: typically located in county or precinct facilities | Statement: [Texas Justice of the Peace Courts, courtroomLocation, typically located in county or precinct facilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courtroomLocation Context triple: [Texas Justice of the Peace Courts, courtroomLocation, typically located in county or precinct facilities]
-
A.
courtLocation
chosen
Indicates the place or venue where a court proceeding or judicial action takes place.
-
B.
courthouseLocatedIn
Indicates that a courthouse is situated within or at a specific geographic or administrative location.
-
C.
courtroom
Indicates a relationship where a legal proceeding or judicial action takes place within or is associated with a specific courtroom.
-
D.
hasCourthouse
Indicates that a location or jurisdiction possesses or contains a courthouse.
-
E.
defendantLocation
Indicates the place or jurisdiction where the defendant is located or resides in relation to a legal matter.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.