Triple
T13184448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NV Energy |
E313809
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Reno, Nevada |
E171705
|
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: Reno, Nevada | Statement: [NV Energy, servesCity, Reno, Nevada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reno, Nevada Context triple: [NV Energy, servesCity, Reno, Nevada]
-
A.
Reno
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.
Las Vegas, Nevada
Las Vegas, Nevada is a major resort city in the Mojave Desert known for its vibrant nightlife, casinos, entertainment, and luxury hotels.
-
D.
Reno, Nevada, United States
chosen
Reno, Nevada, United States is a mid-sized city in the western U.S. known for its casinos, tourism industry, and proximity to Lake Tahoe and the Sierra Nevada.
-
E.
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.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4a0b0081908027bf77442ff5ff |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72660f8d48190b437a57f2a75f6ae |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:15 p.m.