Triple
T28885145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakusan Okami |
E732538
|
entity |
| Predicate | mountainKamiOf |
P72716
|
FINISHED |
| Object | Mount Hakusan |
—
|
NE NERFINISHED |
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: Mount Hakusan | Statement: [Hakusan Okami, mountainKamiOf, Mount Hakusan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountainKamiOf Context triple: [Hakusan Okami, mountainKamiOf, Mount Hakusan]
-
A.
holyMountain
chosen
Indicates that a mountain is regarded as sacred or religiously significant within a particular belief system or tradition.
-
B.
controlledMountainPasses
Indicates that an entity had authority over and could regulate access through specific mountain passes.
-
C.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
D.
borderMountainOf
Indicates that a mountain lies along or forms part of the border of a specified region or entity.
-
E.
symbolicMountain
Indicates that a mountain functions as a symbol or emblem representing some idea, value, or entity.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 7:49 a.m.