Triple
T29010081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panthalassa Ocean |
E736538
|
entity |
| Predicate | wasLargerThan |
P10621
|
FINISHED |
| Object | any modern ocean |
—
|
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: any modern ocean | Statement: [Panthalassa Ocean, wasLargerThan, any modern ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasLargerThan Context triple: [Panthalassa Ocean, wasLargerThan, any modern ocean]
-
A.
largerThan
chosen
Indicates that one entity has a greater size, extent, or magnitude than another entity.
-
B.
wasAbove
Indicates that one entity was positioned at a higher vertical level than another entity at some point in time.
-
C.
wasLargestOfItsType
Indicates that an entity held the greatest size, extent, or magnitude among all entities of the same type or category during a given time period.
-
D.
sizeIncreasedTo
Indicates that an entity’s size has changed and reached a specified larger value or magnitude.
-
E.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
- 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.