Triple
T10101760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAS |
E216218
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Clark County |
E546300
|
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: Clark County | Statement: [LAS, ownedBy, Clark County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clark County Context triple: [LAS, ownedBy, Clark County]
-
A.
Clark County
Clark County is the most populous county in Nevada and includes the city of Las Vegas, serving as a major hub for tourism and entertainment.
-
B.
Clark County
Clark County is a county in southwestern Washington State that includes communities such as La Center and the city of Vancouver within the Portland metropolitan area.
-
C.
Clark County
Clark County is a rural county in central Wisconsin known for its agriculture, forests, and small communities.
-
D.
Clark County, Nevada
chosen
Clark County, Nevada is the populous southern Nevada county that includes the Las Vegas metropolitan area and serves as a major hub for tourism, entertainment, and gaming.
-
E.
Douglas County
Douglas County is a county in southwestern Oregon known for its timber industry, scenic landscapes, and the city of Roseburg as its county seat.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd099c21c819097aac4f0f168a2da |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e591be44819094623fd11f6fccdb |
completed | April 5, 2026, 10:43 p.m. |
Created at: March 30, 2026, 9:02 p.m.