Triple
T3285027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westworld (TV series) score |
E68959
|
entity |
| Predicate | notableTrack |
P8087
|
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: [Westworld (TV series) score, notableTrack, Sweetwater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweetwater Context triple: [Westworld (TV series) score, notableTrack, 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.
Springwater
Springwater is a rural township in central Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
-
C.
Bonny Water
Bonny Water is a small river in central Scotland that flows through the Falkirk area before joining the River Carron.
-
D.
Yellow Water
Yellow Water is a renowned wetland and billabong area in Australia’s Kakadu National Park, famous for its rich wildlife and scenic boat cruises.
-
E.
Stillwater
Stillwater is a small town in eastern New York State known for its proximity to historic Revolutionary War sites near the Hudson River.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0377c9c819089af47952946de52 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e8583e1881908a8d19fb9e105691 |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.