Triple
T21369095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uri Alps |
E527003
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Dammastock |
—
|
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: Dammastock | Statement: [Uri Alps, highestPoint, Dammastock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dammastock Context triple: [Uri Alps, highestPoint, Dammastock]
-
A.
Dammastock
chosen
Dammastock is a prominent mountain in the Urner Alps of Switzerland, known for its extensive glaciation and popularity among mountaineers.
-
B.
Swepstone
Swepstone is a small rural village located in the North West Leicestershire district of England.
-
C.
Herzstein
Herzstein is the birth surname of American actress Barbara Hershey, known for her versatile roles in film and television since the 1960s.
-
D.
Snekkersten
Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
-
E.
Hinkelsteine
Hinkelsteine are large, unforgiving concrete blocks lining parts of the Rallye Deutschland stages, notorious for severely damaging cars that stray off the racing line.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ad04e081908ff02b2ee2bc7485 |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:09 p.m.