Triple
T528048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lysgårdsbakken |
E10966
|
entity |
| Predicate | hasKPoint |
P15212
|
FINISHED |
| Object | K-123 (large hill) |
—
|
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: K-123 (large hill) | Statement: [Lysgårdsbakken, hasKPoint, K-123 (large hill)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKPoint Context triple: [Lysgårdsbakken, hasKPoint, K-123 (large hill)]
-
A.
hasNumberOfPoints
Indicates that an entity is associated with a specific count of points it possesses or comprises.
-
B.
hasHelpPoint
Indicates that one entity provides or contains a designated help or assistance point for another entity.
-
C.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
D.
hasCP
Indicates that an entity possesses, is associated with, or is characterized by a specific CP (such as a control point, contact person, or configuration parameter), depending on the domain context.
-
E.
hasKeel
Indicates that an entity possesses a keel as a structural or anatomical feature.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d2851c81908129f7da932ab7b3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f01ac3ec8190a94a05955532c7fa |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f0dcff1881909c18e8c599c150a1 |
completed | Feb. 28, 2026, 1:42 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.