Triple
T13614528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bykle |
E325276
|
entity |
| Predicate | HovdenIs |
P110433
|
FINISHED |
| Object | ski resort village |
—
|
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: ski resort village | Statement: [Bykle, HovdenIs, ski resort village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HovdenIs Context triple: [Bykle, HovdenIs, ski resort village]
-
A.
JórvíkIs
Indicates that one entity is identified as or equated with Jórvík (the historical name for York), expressing that they are the same place or concept.
-
B.
hasFjord
Indicates that an entity possesses, contains, or is characterized by a fjord as part of its geography or features.
-
C.
HethIs
Indicates that one entity is identified as or equated with another entity, expressing a basic “is” or “being” relationship between them.
-
D.
हवामान
Indicates a relationship involving weather conditions or atmospheric state affecting entities or events.
-
E.
הובאו_אל
Indicates that entities were brought or transported to a particular recipient or destination.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbbb8c77dc8190b7bd803b5e168d23 |
completed | April 12, 2026, 3:34 p.m. |
Created at: April 9, 2026, 9:50 p.m.