Triple
T33975054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac à l’Eau Claire |
E871112
|
entity |
| Predicate | hasTwinCraterSystem |
P75584
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lac à l’Eau Claire, hasTwinCraterSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTwinCraterSystem Context triple: [Lac à l’Eau Claire, hasTwinCraterSystem, true]
-
A.
hasTwinSatellite
Indicates that one celestial body possesses a satellite that is paired with another satellite in a twin or closely matched relationship.
-
B.
hasMultipleCraters
chosen
Indicates that an entity possesses or is characterized by more than one crater.
-
C.
hasTwinVolcano
Indicates that one volcano is paired with another volcano as its twin, typically implying a close spatial, structural, or formative relationship between them.
-
D.
hasSatelliteCrater
Indicates that one crater is a secondary or subsidiary crater associated with, and typically located near, another primary crater.
-
E.
isSecondaryCraterOf
Indicates that one crater was formed by ejecta from the impact that created another, primary crater, rather than by a direct impact itself.
- 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_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:50 a.m.