Triple
T16562694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount of the Holy Cross |
E402378
|
entity |
| Predicate | snowfieldOrientation |
P124065
|
FINISHED |
| Object | cross-shaped couloirs on northeast face |
—
|
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: cross-shaped couloirs on northeast face | Statement: [Mount of the Holy Cross, snowfieldOrientation, cross-shaped couloirs on northeast face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowfieldOrientation Context triple: [Mount of the Holy Cross, snowfieldOrientation, cross-shaped couloirs on northeast face]
-
A.
snowLine
Indicates the altitude or boundary on a mountain or region above which snow persists year-round or seasonally.
-
B.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
C.
valleyOrientation
Indicates the directional alignment or bearing along which a valley extends across the landscape.
-
D.
hasSnowfield
Indicates that an entity possesses, contains, or is characterized by a snow-covered field or area.
-
E.
snowAccess
Indicates that one entity has the ability, permission, or means to access or traverse snow-covered areas in relation to another entity or context.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576f757881909bfc6611361ed16d |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.