Triple
T10870526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uri |
E256636
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Dammastock |
E699999
|
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: Dammastock | Statement: [Uri, highestPoint, Dammastock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dammastock Context triple: [Uri, 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.
Herzstein
Herzstein is the birth surname of American actress Barbara Hershey, known for her versatile roles in film and television since the 1960s.
-
C.
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.
-
D.
Steeg
Steeg is a small alpine village in the Austrian state of Tyrol, known for its scenic location in the upper Lech Valley near the Arlberg region.
-
E.
Colsterworth
Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7518610e48190bee50db71ae0ca3e |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d9ce3c8190afeb2a27fb82b594 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.