Triple
T15482147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nolan County |
E376944
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Sweetwater |
E286263
|
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: Sweetwater | Statement: [Nolan County, hasCity, Sweetwater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweetwater Context triple: [Nolan County, hasCity, Sweetwater]
-
A.
Sweetwater
chosen
Sweetwater is a small West Texas city best known for its historic role in the oil and cattle industries and for hosting one of the world’s largest rattlesnake roundups.
-
B.
Sweetwater
Sweetwater is a 2013 American Western thriller film starring January Jones as a frontier woman seeking violent revenge in 19th-century New Mexico.
-
C.
Sweetwater
Sweetwater is the main frontier town setting in the Westworld theme park, serving as a central hub where guests first encounter the park’s narratives and hosts.
-
D.
Sweet Water
Sweet Water is a small rural town located in Marengo County in the state of Alabama, United States.
-
E.
Springwater
Springwater is a rural township in central Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8cb4388190a3b4c92c3bb4ad4f |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4661088190bb53161247effcc4 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:38 a.m.