Triple
T5038051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somali Acacia–Commiphora bushlands and thickets |
E113473
|
entity |
| Predicate | notableEndemicTaxa |
P954
|
FINISHED |
| Object | antelope species |
—
|
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: antelope species | Statement: [Somali Acacia–Commiphora bushlands and thickets, notableEndemicTaxa, antelope species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEndemicTaxa Context triple: [Somali Acacia–Commiphora bushlands and thickets, notableEndemicTaxa, antelope species]
-
A.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
B.
hasEndemicSpecies
chosen
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
C.
notableSpeciesGroup
Indicates that an entity is a significant or characteristic member of a particular species group associated with another entity.
-
D.
commonNameOfNotableSpecies
Indicates that the subject is a commonly used vernacular or everyday name for a notable or well-known biological species.
-
E.
hasEndemismLevel
Indicates the degree to which something is restricted or native to a particular geographic area or region.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73daaa788190b670f6c328bfa44f |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.