Triple
T34267842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Sabalan |
E879220
|
entity |
| Predicate | hasShelterHut |
P163041
|
FINISHED |
| Object | Sabalan shelter hut |
—
|
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: Sabalan shelter hut | Statement: [Mount Sabalan, hasShelterHut, Sabalan shelter hut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShelterHut Context triple: [Mount Sabalan, hasShelterHut, Sabalan shelter hut]
-
A.
hasMountainHut
Indicates that one entity possesses, contains, or is associated with a mountain hut located within its area or domain.
-
B.
hasAssociatedHut
chosen
Indicates that one entity is linked or connected to a specific hut as its associated structure.
-
C.
hasBivouac
Indicates that an entity provides, contains, or is associated with a temporary camp or bivouac location for use by another entity.
-
D.
hasMountainHutsNearby
Indicates that a location or geographic feature has one or more mountain huts situated in its nearby surroundings.
-
E.
hasSnowShelter
Indicates that an entity possesses or provides a structure or feature that offers shelter or protection from snow.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 1, 2026, 1:56 a.m.