Triple
T549697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Road |
E11809
|
entity |
| Predicate | featuresLocation |
P7690
|
FINISHED |
| Object | Denver |
E56604
|
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: Denver | Statement: [On the Road, featuresLocation, Denver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denver Context triple: [On the Road, featuresLocation, Denver]
-
A.
Denver
Denver is a small village and civil parish in Norfolk, England, known for its historic drainage works and rural setting near the town of Downham Market.
-
B.
Denver
Denver is a central character in Toni Morrison’s novel "Beloved," portrayed as Sethe’s introspective and resilient daughter who struggles with isolation and the legacy of slavery.
-
C.
Boulder, Colorado
Boulder, Colorado is a city at the foothills of the Rocky Mountains known for its research institutions, outdoor recreation, and vibrant university community.
-
D.
Mile High City
chosen
Mile High City is the popular nickname for Denver, Colorado, highlighting its elevation of approximately one mile above sea level.
-
E.
Colorado Springs, Colorado
Colorado Springs, Colorado is a major U.S. city known for its proximity to the Rocky Mountains and Pikes Peak, as well as being a national hub for Olympic and elite sports organizations.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49901e4e481909a5ed93c21ab37bd |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e3f755288190bcbf798cd52f84e1 |
completed | March 2, 2026, 1:12 a.m. |
Created at: March 1, 2026, 7:32 p.m.