Triple
T33975050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac à l’Eau Claire |
E871112
|
entity |
| Predicate | ageCategoryOfCrater |
P178137
|
FINISHED |
| Object | Precambrian |
—
|
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: Precambrian | Statement: [Lac à l’Eau Claire, ageCategoryOfCrater, Precambrian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageCategoryOfCrater Context triple: [Lac à l’Eau Claire, ageCategoryOfCrater, Precambrian]
-
A.
craterDiameter
Indicates the measured width of a crater from one rim edge to the opposite rim edge.
-
B.
parentCrater
Indicates that one crater is the source or origin from which another crater was formed or derived.
-
C.
craterDepth
Indicates the measured vertical distance from a crater’s rim down to its lowest point.
-
D.
craterDescription
Indicates that a textual description is provided for a specific crater, detailing its characteristics or notable features.
-
E.
craterVolume
Indicates the measured or estimated three-dimensional space enclosed within a crater, typically quantifying the size of the depression formed by an impact or volcanic activity.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:50 a.m.