Triple
T8343586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Draper |
E195980
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Alpine |
E712352
|
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: Alpine | Statement: [Draper, borderedBy, Alpine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alpine Context triple: [Draper, borderedBy, Alpine]
-
A.
Alpine
Alpine is a small city in the Big Bend region of West Texas, known as a gateway to nearby desert and mountain landscapes and home to Sul Ross State University.
-
B.
Alpine
Alpine is a French sports car manufacturer renowned for its lightweight performance vehicles and historic success in rally racing.
-
C.
Alpine
chosen
Alpine is a small, affluent city at the base of the Wasatch Range in northern Utah, known for its scenic mountain views and residential character.
-
D.
Alpestre
Alpestre is a municipality in the state of Rio Grande do Sul, Brazil, situated near the Foz do Chapecó hydroelectric dam on the Uruguay River.
-
E.
American Alps
The American Alps is a nickname for Washington State’s North Cascades, a rugged mountain region famed for its dramatic peaks, deep valleys, and extensive glaciation reminiscent of the European Alps.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7febde288190bf4677fb24d26b83 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc733f7848190ab60098cb178dbfc |
completed | April 2, 2026, 1:32 a.m. |
Created at: March 30, 2026, 5:58 p.m.