Triple
T5259610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proteus (moon) |
E118790
|
entity |
| Predicate | craterCharacteristic |
P60171
|
FINISHED |
| Object | many large impact craters |
—
|
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: many large impact craters | Statement: [Proteus (moon), craterCharacteristic, many large impact craters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: craterCharacteristic Context triple: [Proteus (moon), craterCharacteristic, many large impact craters]
-
A.
craterDiameter
Indicates the measured width of a crater from one rim edge to the opposite rim edge.
-
B.
craterName
Indicates that one entity is the designated name assigned to a specific crater.
-
C.
craterDensity
chosen
Indicates the measured concentration of impact craters on a surface area, reflecting how densely craters are distributed.
-
D.
craterLakeType
Indicates that the subject is a lake formed in or associated with a volcanic crater, specifying this particular type of lake.
-
E.
hasCrater
Indicates that one entity possesses or features a crater on its surface.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcced6881909bdb7ac5471a37fe |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.