Triple
T964655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washoe County |
E20811
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sparks |
E16353
|
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: Sparks | Statement: [Washoe County, contains, Sparks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sparks Context triple: [Washoe County, contains, Sparks]
-
A.
Sparks
chosen
Sparks is a city in northern Nevada known for its proximity to Reno and its role as a regional hub for industry, transportation, and outdoor recreation.
-
B.
Sparkle
Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
-
C.
O-Town
O-Town is an American boy band formed on the reality TV series "Making the Band," known for early-2000s pop hits like "Liquid Dreams" and "All or Nothing."
-
D.
O-Town
O-Town is a popular nickname for the city of Orlando, Florida, often used in local culture and media.
-
E.
Ball of Fire
Ball of Fire is a 1941 screwball comedy film starring Gary Cooper and Barbara Stanwyck, known for its witty dialogue and playful take on academic life and gangster culture.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4303e5881909d101d11f9732c75 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11a82bfc81908a30b19d4ecc25f1 |
completed | March 7, 2026, 11:53 a.m. |
Created at: March 1, 2026, 7:40 p.m.