Triple
T27149048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valhalla impact structure |
E682331
|
entity |
| Predicate | ringContinuity |
P123731
|
FINISHED |
| Object | rings are discontinuous in places |
—
|
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: rings are discontinuous in places | Statement: [Valhalla impact structure, ringContinuity, rings are discontinuous in places]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ringContinuity Context triple: [Valhalla impact structure, ringContinuity, rings are discontinuous in places]
-
A.
ringContained
Indicates that one ring-shaped object is entirely enclosed within the spatial bounds of another ring-shaped object.
-
B.
ringType
Indicates the specific kind or category of ring associated with an entity or relationship.
-
C.
ringOrigin
Indicates the source or starting point from which a ring (such as a circular structure, feature, or formation) arises or is generated.
-
D.
continuityCondition
chosen
Indicates that a relationship or process maintains consistency or unbroken progression across a boundary, interval, or sequence.
-
E.
symbolicContinuity
Indicates that there is a consistent, ongoing use or preservation of the same symbols or symbolic forms across time, contexts, or instances.
- 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f624c8b4148190990ea6bd13e9e271 |
completed | May 2, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:13 a.m.