Triple
T17455949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | downtown Reno casino district |
E425026
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Reno city center |
—
|
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: Reno city center | Statement: [downtown Reno casino district, nearby, Reno city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reno city center Context triple: [downtown Reno casino district, nearby, Reno city center]
-
A.
Reno
chosen
Reno is a city in northwestern Nevada known for its casinos, tourism, and proximity to outdoor recreation areas in the Sierra Nevada, including Lake Tahoe.
-
B.
Reno
Reno is a small city located in Parker County in the U.S. state of Texas.
-
C.
Sparks, Nevada
Sparks, Nevada is a city in Washoe County that forms part of the Reno–Sparks metropolitan area and is known for its casinos, special events, and proximity to Lake Tahoe.
-
D.
Henderson, Nevada
Henderson, Nevada is a major suburban city in the Las Vegas metropolitan area known for its rapid growth, master-planned communities, and proximity to the Las Vegas Strip.
-
E.
Downtown Las Vegas
Downtown Las Vegas is the historic urban core of Las Vegas, known for its Fremont Street casinos, neon lights, entertainment venues, and revitalized arts and cultural districts.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45141e1d48190b7de9159f1fd71fa |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.