Triple
T33021522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pannonian Sea |
E844923
|
entity |
| Predicate | sedimentsContain |
P18668
|
FINISHED |
| Object | mollusc fossils |
—
|
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: mollusc fossils | Statement: [Pannonian Sea, sedimentsContain, mollusc fossils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sedimentsContain Context triple: [Pannonian Sea, sedimentsContain, mollusc fossils]
-
A.
hasSedimentsThat
chosen
Indicates that one entity contains, includes, or is associated with specific sediments described by the related entity.
-
B.
hasSedimentLoad
Indicates that one entity (typically a water body or flow) carries or transports a certain amount or type of sediment associated with another entity.
-
C.
colorOfSediment
Indicates the specific color or coloration characteristic associated with a given sediment.
-
D.
typeOfSedimentation
Indicates the specific kind or process of sediment deposition or settling that characterizes how sediment accumulates in a given context.
-
E.
sedimentSource
Indicates that one entity serves as the origin or provider of sediment that is transported to or deposited in another entity.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:23 a.m.