Triple
T19260484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mordor Macula |
E481633
|
entity |
| Predicate | surfaceCompositionContext |
P135092
|
FINISHED |
| Object | contrasts with water-ice rich regions on Charon |
—
|
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: contrasts with water-ice rich regions on Charon | Statement: [Mordor Macula, surfaceCompositionContext, contrasts with water-ice rich regions on Charon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceCompositionContext Context triple: [Mordor Macula, surfaceCompositionContext, contrasts with water-ice rich regions on Charon]
-
A.
surfaceSampleContext
Indicates the situational or environmental context in which a surface sample is taken or observed.
-
B.
surfaceRecord
Indicates that an entity documents or presents information about the external aspects or observable features of another entity or phenomenon.
-
C.
surfaceState
Indicates the physical condition or status of a surface, such as its texture, cleanliness, damage, or treatment at a given time.
-
D.
surfaceDescription
Indicates that one entity provides a textual or qualitative description of the surface characteristics or appearance of another entity.
-
E.
surfaceStatus
Indicates the condition or state of a surface, such as whether it is intact, damaged, altered, or otherwise characterized.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb890e7c8190beba407f63459382 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:28 p.m.