Triple
T2022879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainbow Trail |
E44142
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Taylor Creek |
E433859
|
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: Taylor Creek | Statement: [Rainbow Trail, hasView, Taylor Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taylor Creek Context triple: [Rainbow Trail, hasView, Taylor Creek]
-
A.
Taylor Creek
chosen
Taylor Creek is a natural waterway in Colorado known for its proximity to popular hiking routes and scenic mountain landscapes.
-
B.
Rush Creek
Rush Creek is a significant Sierra Nevada stream in California that flows into Mono Lake and supports important riparian and aquatic ecosystems.
-
C.
Clear Creek
Clear Creek is a mountain stream in Colorado that became a key corridor for early mining camps and settlements during the Colorado Gold Rush.
-
D.
Carroll Creek
Carroll Creek is a small waterway in Frederick, Maryland, known for the Carroll Creek Linear Park and its role in the city's flood control and downtown revitalization.
-
E.
Hannibal Creek
Hannibal Creek is a waterway after which the city of Hannibal, Missouri, is named.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8f1728481909ae36e821b9edef2 |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4aa62888190a5ef7a617b5ace8d |
completed | March 14, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:38 p.m.