Triple
T9868209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lehi, Utah |
E239887
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Draper, Utah |
E243582
|
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: Draper, Utah | Statement: [Lehi, Utah, adjacentTo, Draper, Utah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Draper, Utah Context triple: [Lehi, Utah, adjacentTo, Draper, Utah]
-
A.
Draper, Utah
chosen
Draper, Utah is a rapidly growing suburban city in the southern Salt Lake Valley known for its residential communities, tech industry presence, and access to outdoor recreation along the Wasatch Range.
-
B.
Lindon, Utah
Lindon, Utah is a small suburban city in Utah County situated along the Wasatch Front between Orem and Pleasant Grove.
-
C.
Ogden, Utah
Ogden, Utah is a city in northern Utah known as a historic railroad hub and gateway to nearby ski resorts and outdoor recreation in the Wasatch Mountains.
-
D.
Woods Cross, Utah
Woods Cross, Utah is a small suburban city in Davis County that forms part of the greater Salt Lake City metropolitan area along the Wasatch Front.
-
E.
Richfield, Utah
Richfield, Utah is a small city that serves as a regional commercial and service hub for central Utah.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d34e4c81908c0fc14dd6d015cc |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6bb34548190aac9d2af05477750 |
completed | April 12, 2026, 3:14 p.m. |
Created at: March 30, 2026, 8:36 p.m.