Triple
T8467054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glires |
E200189
|
entity |
| Predicate | hasEcologicalDiversity |
P22447
|
FINISHED |
| Object | high in member taxa |
—
|
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: high in member taxa | Statement: [Glires, hasEcologicalDiversity, high in member taxa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEcologicalDiversity Context triple: [Glires, hasEcologicalDiversity, high in member taxa]
-
A.
hasBiodiversitySignificance
Indicates that something possesses ecological importance due to the variety, rarity, or conservation value of the species and habitats it supports.
-
B.
hasBiodiversityFeature
chosen
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
-
C.
hasEcology
Indicates that an entity has a particular ecological context, such as its habitat, environmental role, or interactions within an ecosystem.
-
D.
hasDiverseLandscape
Indicates that an entity possesses a variety of distinct physical or environmental features within its geographic area.
-
E.
hasEcologicalZones
Indicates that an entity is associated with, contains, or is characterized by one or more distinct ecological zones.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d2eb648190b606411eb6a8f7ea |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.