Triple
T3923478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiescher Glacier |
E93215
|
entity |
| Predicate | rankingByLengthInSwitzerland |
P51694
|
FINISHED |
| Object | one of the longest glaciers in Switzerland |
—
|
LITERAL 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: one of the longest glaciers in Switzerland | Statement: [Fiescher Glacier, rankingByLengthInSwitzerland, one of the longest glaciers in Switzerland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingByLengthInSwitzerland Context triple: [Fiescher Glacier, rankingByLengthInSwitzerland, one of the longest glaciers in Switzerland]
-
A.
rankInSwitzerlandByArea
Indicates the position of an entity in an ordered list of areas specifically within Switzerland, based on its size relative to others.
-
B.
rankByLengthInEurope
Indicates that entities are ordered or compared based on their length specifically within the context of Europe.
-
C.
passengerTrafficRankInSwitzerland
Indicates the relative position of an entity in terms of passenger traffic volume compared to other entities within Switzerland.
-
D.
chartPositionSwitzerland
Indicates the position or ranking that something holds on a music or sales chart specifically in Switzerland.
-
E.
rankingByLengthInChina
Indicates that entities are ordered or evaluated based on their length within the context of China.
- F. None of above. chosen
Provenance (4 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed7c2c848190a6d62e2df9b942d4 |
completed | March 9, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb5f859c819095b61f5ba8eace4f |
completed | March 9, 2026, 3:46 p.m. |
Created at: March 9, 2026, 3:23 p.m.