Triple
T13396139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penaeaceae |
E319704
|
entity |
| Predicate | endemicity |
P60433
|
FINISHED |
| Object | mostly endemic to South Africa |
—
|
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: mostly endemic to South Africa | Statement: [Penaeaceae, endemicity, mostly endemic to South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endemicity Context triple: [Penaeaceae, endemicity, mostly endemic to South Africa]
-
A.
isEndemicTo
Indicates that something naturally occurs and is restricted to a particular geographic area or region.
-
B.
endemicLegacy
Indicates that a condition, trait, or influence is persistently rooted and locally confined to a particular context, region, or population as a lasting effect.
-
C.
isEndemicGenus
chosen
Indicates that a genus naturally occurs only within a specific geographic region and is not found natively elsewhere.
-
D.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
E.
initiallyEndemicCountries
Indicates the set of countries in which something (typically a disease or species) was originally endemic at the start of the period or process being considered.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d892d08190b1b192b93fe3d72d |
completed | April 12, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.