Triple
T16140309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR 20 |
E391634
|
entity |
| Predicate | continentRank |
P121258
|
FINISHED |
| Object | one of the toughest treks in Europe |
—
|
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 toughest treks in Europe | Statement: [GR 20, continentRank, one of the toughest treks in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentRank Context triple: [GR 20, continentRank, one of the toughest treks in Europe]
-
A.
continentOrder
Indicates the relative positional or sequential order of continents with respect to one another.
-
B.
continentRankByPopulation
Indicates the relative position of a continent in an ordered list based on its population size.
-
C.
continentCountry
Indicates that a country is located on or belongs to a specific continent.
-
D.
continentRankByArea
Indicates the relative position of a continent in an ordered list based on its total land area.
-
E.
continentScope
Indicates that something applies within, is limited to, or is defined at the level of a specific continent.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a07b7908190b4e1ec57f60a9274 |
completed | April 17, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1835b64948190ae1d2a9d4cc64acf |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 5:01 a.m.