Triple
T9116521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warm Creek |
E218731
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Warm Creek |
E218731
|
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: Warm Creek | Statement: [Warm Creek, hasName, Warm Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warm Creek Context triple: [Warm Creek, hasName, Warm Creek]
-
A.
Warm Creek
chosen
Warm Creek is a watercourse in Southern California that flows through the San Bernardino Valley.
-
B.
Sugar Creek
Sugar Creek is a small city in Jackson County, Missouri, located near Kansas City and known for its historic ties to the oil refinery industry and the Missouri River.
-
C.
River Blithe
River Blithe is a small river in Staffordshire, England, known for flowing through rural landscapes before joining the River Trent.
-
D.
Troublesome Creek
Troublesome Creek is a stream in North Carolina known for flowing through the city of Reidsville and contributing to the local watershed.
-
E.
Light River
Light River is a river in South Australia that flows through agricultural regions before emptying into Gulf St Vincent.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a4c9e08190ba3603a5d00afb20 |
completed | April 1, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0307299ec8190acade4f388642e23 |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:17 p.m.