Triple
T5281407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umbriel |
E119505
|
entity |
| Predicate | likelyInteriorComposition |
P51231
|
FINISHED |
| Object | mixture of water ice and rock |
—
|
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: mixture of water ice and rock | Statement: [Umbriel, likelyInteriorComposition, mixture of water ice and rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyInteriorComposition Context triple: [Umbriel, likelyInteriorComposition, mixture of water ice and rock]
-
A.
likelyComposition
chosen
Indicates that one entity is probably a component or constituent part of another entity, though this compositional relationship is uncertain or inferred rather than definite.
-
B.
crustalComposition
Indicates the type and proportion of materials that make up a planet or moon’s outer solid layer (its crust).
-
C.
hasInteriorFeature
Indicates that an entity contains or includes a specific feature within its interior space.
-
D.
isTypicallyFilledWith
Indicates that one entity is commonly or usually occupied, loaded, or contained by another entity.
-
E.
possiblePlaceOfComposition
Indicates that a location is a plausible or hypothesized place where a work was composed.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.