Triple
T15178796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eternity Range |
E362683
|
entity |
| Predicate | primarySurfaceCover |
P48754
|
FINISHED |
| Object | ice |
—
|
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: ice | Statement: [Eternity Range, primarySurfaceCover, ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySurfaceCover Context triple: [Eternity Range, primarySurfaceCover, ice]
-
A.
vegetationCoverage
Indicates the extent or proportion of an area that is covered by vegetation.
-
B.
surfaceCover
chosen
Indicates that one entity forms the material or layer that covers the outer surface of another entity.
-
C.
forestCoverCharacteristic
Indicates a relationship where a forested area possesses a specific attribute or quality related to its tree or vegetation cover.
-
D.
fieldCovered
Indicates that a specified field or area is physically or functionally covered by some material, object, or condition.
-
E.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00663b4148190b647592eda315d1d |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:09 a.m.