Triple
T29260963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelter Stone Crag |
E741842
|
entity |
| Predicate | hasBivouac |
P174288
|
FINISHED |
| Object | large undercut boulder shelter |
—
|
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: large undercut boulder shelter | Statement: [Shelter Stone Crag, hasBivouac, large undercut boulder shelter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBivouac Context triple: [Shelter Stone Crag, hasBivouac, large undercut boulder shelter]
-
A.
hasSnowShelter
Indicates that an entity possesses or provides a structure or feature that offers shelter or protection from snow.
-
B.
hasCampingOption
Indicates that an entity offers or includes the possibility to camp (e.g., designated camping facilities or areas).
-
C.
hasCampingStyle
Indicates that an entity is associated with a particular style or manner of camping.
-
D.
hadCamp
Indicates that an entity conducted, hosted, or participated in a camp event or camping activity.
-
E.
hasMountainHut
Indicates that one entity possesses, contains, or is associated with a mountain hut located within its area or domain.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 28, 2026, 12:41 p.m.