Triple
T21832423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Range |
E539029
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Cupola |
—
|
NE NERFINISHED |
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: Mount Cupola | Statement: [Douglas Range, contains, Mount Cupola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Cupola Context triple: [Douglas Range, contains, Mount Cupola]
-
A.
Mount Cupola
chosen
Mount Cupola is the highest summit of the Rouen Mountains, a prominent peak in the mountainous regions of Antarctica.
-
B.
Mount Obama
Mount Obama is the highest peak on the Caribbean island of Antigua, known for its lush, forested slopes and panoramic views.
-
C.
Martin Tower
Martin Tower is one of the prominent towers of Basel Minster, a historic Gothic cathedral in Basel, Switzerland.
-
D.
Mount Hubley
Mount Hubley is a prominent peak in Antarctica’s Ellsworth Mountains, known as part of the rugged Sentinel Range.
-
E.
Mount Chamberlin
Mount Chamberlin is a high Sierra Nevada summit in California notable for exceeding 14,000 feet in elevation and being among the state's major alpine peaks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a4d2d0819088ded045caeab52d |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.