Triple
T19871312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frenchman Flat |
E477522
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Jackass Flats |
—
|
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: Jackass Flats | Statement: [Frenchman Flat, near, Jackass Flats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackass Flats Context triple: [Frenchman Flat, near, Jackass Flats]
-
A.
Jackass Flats
chosen
Jackass Flats is an arid valley region in southern Nevada known for its role in the Nevada Test Site and its location within the Death Valley regional hydrologic system.
-
B.
Jackass
Jackass is an American reality comedy franchise known for its outrageous, often dangerous stunts and pranks performed by a group of friends.
-
C.
Achtung Jackass
Achtung Jackass is a punk rock album by The Frustrators, known for its energetic, irreverent style and ties to the East Bay punk scene.
-
D.
Jackassolantern
Jackassolantern is a live album by the American jam band Widespread Panic, featuring extended improvisational performances and Halloween-themed recordings.
-
E.
Kick Ass
Kick Ass is a popular dark roast coffee blend from Kicking Horse Coffee known for its bold, rich flavor and smooth finish.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a3d2b08190ad81914d4860df0e |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.