Triple
T29308474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himachal Himalaya |
E743164
|
entity |
| Predicate | highestPeaksType |
P18615
|
FINISHED |
| Object | high Himalayan peaks |
—
|
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: high Himalayan peaks | Statement: [Himachal Himalaya, highestPeaksType, high Himalayan peaks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPeaksType Context triple: [Himachal Himalaya, highestPeaksType, high Himalayan peaks]
-
A.
highestPeaksLocatedIn
Indicates that the specified highest mountain peaks are geographically situated within the given location or region.
-
B.
hasHighestPointType
chosen
Indicates that the highest point of an entity is of a specified type or category.
-
C.
highestPeakAccessible
Indicates that one location is the tallest peak that can be reached or accessed from another specified location or by a specified agent.
-
D.
peakOf
Indicates that one entity represents the highest or most extreme point, level, or intensity within the extent or progression of another entity.
-
E.
highestPeaksRelativeTo
Indicates a relationship where one location or region is associated with the tallest mountain peaks it contains, relative to surrounding areas or a defined reference set.
- F. None of above.
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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 28, 2026, 1:15 p.m.