Triple
T3497707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Jackson |
E73890
|
entity |
| Predicate | surfaceCover |
P48754
|
FINISHED |
| Object | permanent ice and snow |
—
|
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: permanent ice and snow | Statement: [Mount Jackson, surfaceCover, permanent ice and snow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceCover Context triple: [Mount Jackson, surfaceCover, permanent ice and snow]
-
A.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
B.
surfaceAccess
Indicates that one entity provides a means for another entity to reach, enter, or interact with a surface or outer layer.
-
C.
surfaceColor
Indicates the color that appears on the outer visible surface of an entity.
-
D.
surfaceFeatureOf
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
-
E.
surfaceBehavior
Indicates how an entity behaves or interacts specifically at or on its surface.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd299ec8190b76b165b2fd70537 |
completed | March 8, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb055ed2481908171effe28151cf9 |
completed | March 8, 2026, 5:22 p.m. |
Created at: March 8, 2026, 3:18 p.m.