Triple
T19305708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballard County |
E482821
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | LaCenter |
—
|
NE NERFINISHED |
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: LaCenter | Statement: [Ballard County, hasSettlement, LaCenter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaCenter Context triple: [Ballard County, hasSettlement, LaCenter]
-
A.
LaCenter
chosen
LaCenter is a small city in western Kentucky that serves as the primary population and commercial center of Ballard County.
-
B.
Richland
Richland is a small historic town in Baker County, Oregon, known for its rural character and proximity to outdoor recreation in the Powder River valley.
-
C.
Muskego
Muskego is a suburban city in Waukesha County, Wisconsin, known for its residential communities and numerous lakes and parks.
-
D.
Alcona
Alcona is a residential community within the town of Innisfil, Ontario, known for its proximity to Lake Simcoe and its role as one of the area's primary population centres.
-
E.
Standerton
Standerton is a significant agricultural and commercial town situated on the banks of the Vaal River in South Africa’s Mpumalanga province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c84fe08190869463bdd0324160 |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:31 p.m.