Triple
T298133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cervidae |
E6137
|
entity |
| Predicate | hasExtantSpeciesApprox |
P6211
|
FINISHED |
| Object | about 50 |
—
|
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: about 50 | Statement: [Cervidae, hasExtantSpeciesApprox, about 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExtantSpeciesApprox Context triple: [Cervidae, hasExtantSpeciesApprox, about 50]
-
A.
numberOfSpecies
chosen
Indicates the count of distinct species associated with a given entity or context.
-
B.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
C.
hasExtinctBranch
Indicates that an entity has at least one branch, lineage, or subdivision that no longer exists (is extinct).
-
D.
containsFossilsOf
Indicates that one entity (typically a geological formation, rock, or sample) includes fossil remains or traces belonging to another entity (an organism or taxon).
-
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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea4778cc8190be7b648a82542891 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e937af888190a0960708f09ae033 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.