Triple
T12238247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland County |
E291656
|
entity |
| Predicate | hasJurisdiction |
P285
|
FINISHED |
| Object | Slaughterville |
E970894
|
NE 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: Slaughterville | Statement: [Cleveland County, hasJurisdiction, Slaughterville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slaughterville Context triple: [Cleveland County, hasJurisdiction, Slaughterville]
-
A.
Slaughterville
chosen
Slaughterville is a small rural town in central Oklahoma, United States, known for its agricultural character and proximity to the city of Norman.
-
B.
Stewarttown
Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
-
C.
Scotchtown
Scotchtown is a small community located on Cape Breton Island in Nova Scotia, Canada.
-
D.
Scotchtown
Scotchtown is a historic 18th-century plantation in Hanover County, Virginia, best known as the longtime home of American patriot Patrick Henry.
-
E.
Blairsville
Blairsville is a small mountain town in northern Georgia known for its scenic Appalachian setting and outdoor recreation opportunities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb45340819093365f8efdf85f75 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5ff68c81909d2796b24dd055f4 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.