Triple
T15856830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potter County |
E384480
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Amarillo |
E213552
|
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: Amarillo | Statement: [Potter County, countySeat, Amarillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amarillo Context triple: [Potter County, countySeat, Amarillo]
-
A.
Amarillo
"Amarillo" is a reggaeton track by Colombian artist J Balvin, featured on his 2020 album "Colores."
-
B.
Amarillo
"Amarillo" is a country song popularized by Emmylou Harris, featured on her compilation album "Profile II: The Best of Emmylou Harris."
-
C.
Amarillo, Texas
chosen
Amarillo, Texas is a major city in the Texas Panhandle known for its cattle industry, Route 66 heritage, and proximity to Palo Duro Canyon.
-
D.
Saltillo
Saltillo is the capital and largest city of the state of Coahuila in northeastern Mexico, known for its industrial economy and traditional sarape textiles.
-
E.
Laredo
Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14cb08bd081908af2120eb2925441 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa941a0a481909c8d8e98861b46d6 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.