Triple
T139134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Nevada |
E2813
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object |
Elko
Elko is a small city in northeastern Nevada known as a regional hub for ranching, mining, and outdoor recreation.
|
E28013
|
NE FINISHED |
How this triple was built (4 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: Elko | Statement: [Northern Nevada, includesCity, Elko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elko Context triple: [Northern Nevada, includesCity, Elko]
-
A.
Primm, Nevada
Primm, Nevada is a small casino and resort town on the Nevada–California border known as a popular stopover for travelers between Los Angeles and Las Vegas.
-
B.
Carson City
Carson City is the capital of the U.S. state of Nevada, located in the western part of the state near the Sierra Nevada mountains.
-
C.
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.
-
D.
Truckee
Truckee is a historic mountain town in California’s Sierra Nevada, known for its proximity to Lake Tahoe, outdoor recreation, and preserved Old West-style downtown.
-
E.
Stateline, Nevada
Stateline, Nevada is a small resort town on the south shore of Lake Tahoe known for its casinos, hotels, and outdoor recreation at the California–Nevada border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Elko Triple: [Northern Nevada, includesCity, Elko]
Generated description
Elko is a small city in northeastern Nevada known as a regional hub for ranching, mining, and outdoor recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elko Target entity description: Elko is a small city in northeastern Nevada known as a regional hub for ranching, mining, and outdoor recreation.
-
A.
Primm, Nevada
Primm, Nevada is a small casino and resort town on the Nevada–California border known as a popular stopover for travelers between Los Angeles and Las Vegas.
-
B.
Carson City
Carson City is the capital of the U.S. state of Nevada, located in the western part of the state near the Sierra Nevada mountains.
-
C.
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.
-
D.
Truckee
Truckee is a historic mountain town in California’s Sierra Nevada, known for its proximity to Lake Tahoe, outdoor recreation, and preserved Old West-style downtown.
-
E.
Stateline, Nevada
Stateline, Nevada is a small resort town on the south shore of Lake Tahoe known for its casinos, hotels, and outdoor recreation at the California–Nevada border.
- F. None of above. chosen
Provenance (5 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a800148190be119d1d075869b8 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a347634d58819096655bcdc1378780 |
completed | Feb. 28, 2026, 7:52 p.m. |
| NEDg | Description generation | batch_69a34a03368881908f2022d81d0acc72 |
completed | Feb. 28, 2026, 8:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a34a6c4c8c8190b483c52898e84f55 |
completed | Feb. 28, 2026, 8:05 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.