Triple
T17819226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Flora |
E444930
|
entity |
| Predicate | fossilsPreserve |
P38543
|
FINISHED |
| Object | plant 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: plant fossils | Statement: [Mount Flora, fossilsPreserve, plant fossils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fossilsPreserve Context triple: [Mount Flora, fossilsPreserve, plant fossils]
-
A.
fossilPreservation
Indicates that a fossil retains evidence of its original features or conditions through specific modes or quality of preservation.
-
B.
fossilRich
Indicates that a location, layer, or material contains an abundant or significant concentration of fossils.
-
C.
fossilGroup
Indicates that one entity is classified as belonging to a particular fossil group or assemblage associated with another entity.
-
D.
fossilsDisplayedAt
Indicates that fossils are exhibited or shown at a particular location or venue.
-
E.
fossilContent
chosen
Indicates that one entity contains, preserves, or is characterized by the fossils of 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e489101aa48190a1439d8cb683bba9 |
completed | April 19, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:15 a.m.