Triple
T33975030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac à l’Eau Claire |
E871112
|
entity |
| Predicate | hasCraterStructure |
P6354
|
FINISHED |
| Object | Clearwater West crater |
—
|
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: Clearwater West crater | Statement: [Lac à l’Eau Claire, hasCraterStructure, Clearwater West crater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCraterStructure Context triple: [Lac à l’Eau Claire, hasCraterStructure, Clearwater West crater]
-
A.
hasCrater
chosen
Indicates that one entity possesses or features a crater on its surface.
-
B.
hasCraterType
Indicates that an object or location is associated with a specific type or classification of crater.
-
C.
hasSatelliteCrater
Indicates that one crater is a secondary or subsidiary crater associated with, and typically located near, another primary crater.
-
D.
hasCraterCount
Indicates that an entity possesses a specified number of craters.
-
E.
hasOverlappingCrater
Indicates that one crater partially or fully overlaps another crater in space, sharing a common area of their surfaces.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 1, 2026, 1:50 a.m.