Triple
T32655954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tate |
E834862
|
entity |
| Predicate | hasMountainHutArea |
P15807
|
FINISHED |
| Object | Murodō |
—
|
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: Murodō | Statement: [Mount Tate, hasMountainHutArea, Murodō]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMountainHutArea Context triple: [Mount Tate, hasMountainHutArea, Murodō]
-
A.
hasMountainHut
chosen
Indicates that one entity possesses, contains, or is associated with a mountain hut located within its area or domain.
-
B.
hasMountainHutsNearby
Indicates that a location or geographic feature has one or more mountain huts situated in its nearby surroundings.
-
C.
hasMountaineeringArea
Indicates that an entity is associated with or contains a designated area suitable for mountaineering activities.
-
D.
mountainHutOperator
Indicates that one entity operates, manages, or runs a particular mountain hut.
-
E.
hasSkiPassArea
Indicates that an entity’s ski pass grants access to a specific ski area or region.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
Created at: May 1, 2026, 1:08 a.m.