Triple
T16567216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Ordovician |
E402491
|
entity |
| Predicate | bioticEffect |
P118698
|
FINISHED |
| Object | collapse of many shallow-marine communities |
—
|
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: collapse of many shallow-marine communities | Statement: [Late Ordovician, bioticEffect, collapse of many shallow-marine communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bioticEffect Context triple: [Late Ordovician, bioticEffect, collapse of many shallow-marine communities]
-
A.
affectsBiologicalProcess
Indicates a relationship where one entity produces a change or influence on a biological process of another entity or system.
-
B.
biota
Indicates the presence or composition of living organisms (flora, fauna, or other life forms) associated with a given entity or environment.
-
C.
hasPharmacologicalEffect
Indicates that one entity produces a specific pharmacological effect or action on another entity.
-
D.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
E.
hasEnvironmentalEffect
chosen
Indicates that one entity causes, contributes to, or is associated with an impact on the environment of another entity or context.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35772f6608190a125c7d3c199c3e2 |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.