Triple
T1783531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraken Mare |
E39338
|
entity |
| Predicate | surfaceAreaRelative |
P32345
|
FINISHED |
| Object | larger than Earth’s Caspian Sea |
—
|
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: larger than Earth’s Caspian Sea | Statement: [Kraken Mare, surfaceAreaRelative, larger than Earth’s Caspian Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceAreaRelative Context triple: [Kraken Mare, surfaceAreaRelative, larger than Earth’s Caspian Sea]
-
A.
surfaceAlignmentFor
Indicates that one entity’s surface is oriented or configured to align properly with the surface of another entity.
-
B.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
C.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
-
D.
hasRelativeRelief
Indicates a relationship where one entity is characterized by the degree of variation in elevation or relief relative to another reference entity or area.
-
E.
surfacePressure
Indicates the pressure exerted by a fluid (such as air or water) on the surface of an object or body.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab74db3dbc8190ab256a4e158062b8 |
completed | March 7, 2026, 12:44 a.m. |
Created at: March 4, 2026, 7:31 p.m.