Triple
T29010085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panthalassa Ocean |
E736538
|
entity |
| Predicate | isImportantForUnderstanding |
P1887
|
FINISHED |
| Object | supercontinent cycles |
—
|
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: supercontinent cycles | Statement: [Panthalassa Ocean, isImportantForUnderstanding, supercontinent cycles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isImportantForUnderstanding Context triple: [Panthalassa Ocean, isImportantForUnderstanding, supercontinent cycles]
-
A.
isImportantFor
chosen
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
B.
importantInSect
Indicates that one entity holds significant importance, influence, or status within a particular sect or religious subgroup.
-
C.
importantObject
Indicates that one entity is considered especially significant, central, or of high priority in relation to another entity or context.
-
D.
importantAria
Indicates that an aria is considered significant or central in its musical, dramatic, or contextual role.
-
E.
hasParticularSignificanceFor
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
- 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65fdb92508190bd0e7fe7877cdae2 |
completed | May 2, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:41 a.m.