Triple
T25285598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nördlinger Ries impact crater |
E633928
|
entity |
| Predicate | ejectaExtent |
P158345
|
FINISHED |
| Object | over 100 kilometers from the 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: over 100 kilometers from the crater | Statement: [Nördlinger Ries impact crater, ejectaExtent, over 100 kilometers from the crater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ejectaExtent Context triple: [Nördlinger Ries impact crater, ejectaExtent, over 100 kilometers from the crater]
-
A.
hasEjecta
Indicates that one entity produces or is associated with material expelled or thrown out from another entity as a result of an energetic event or process.
-
B.
eezExtent
Indicates the geographic area or spatial coverage of a country's exclusive economic zone (EEZ).
-
C.
ejectorType
Indicates the specific kind or category of ejector mechanism associated with an entity or system.
-
D.
typicalEjectedMass
Indicates the characteristic amount of mass that is usually expelled from a system or object during an ejection event.
-
E.
ejectionRecord
Indicates that there is a recorded instance of an entity being expelled, removed, or discharged from a place, system, or context.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48e0921ac8190a4a8fec7be7ad8f6 |
completed | May 1, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f465699c9c8190ac7b4b32b782550c |
completed | May 1, 2026, 8:33 a.m. |
Created at: April 21, 2026, 1:19 p.m.