Triple
T19323848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FrontRunner |
E483294
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Clearfield |
—
|
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: Clearfield | Statement: [FrontRunner, servesCity, Clearfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clearfield Context triple: [FrontRunner, servesCity, Clearfield]
-
A.
Clearfield
chosen
Clearfield is a suburban city in Davis County, northern Utah, known for its proximity to Hill Air Force Base and its role in the Ogden–Clearfield metropolitan area.
-
B.
Cedar Hills
Cedar Hills is a small residential city in northern Utah County, Utah, situated on the slopes near American Fork Canyon at the edge of Utah Valley.
-
C.
River Heights
River Heights is the fictional Midwestern hometown of teenage sleuth Nancy Drew, serving as the primary backdrop for many of her mystery-solving adventures.
-
D.
Upland
Upland is a small borough in Delaware County, Pennsylvania, known historically as the original name and early settlement area that later became part of Chester.
-
E.
Upland
Upland is a suburban city in Southern California’s Inland Empire, located at the foot of the San Gabriel Mountains.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8a07508190a2e5f8972d1efba0 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.