Triple
T17477391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostracoda |
E425573
|
entity |
| Predicate | hasTaxonomicDiversity |
P64047
|
FINISHED |
| Object | tens of thousands of described 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: tens of thousands of described species | Statement: [Ostracoda, hasTaxonomicDiversity, tens of thousands of described species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTaxonomicDiversity Context triple: [Ostracoda, hasTaxonomicDiversity, tens of thousands of described species]
-
A.
hasInternalDiversity
chosen
Indicates that an entity contains multiple distinct types, elements, or subgroups within itself, rather than being uniform or homogeneous.
-
B.
geneticDiversity
Indicates variation in genetic characteristics within or between populations or groups.
-
C.
morphologicalDiversity
Indicates variation in the forms, structures, or shapes of entities within a group or system.
-
D.
hasBiodiversityFeature
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
-
E.
hasDiverseLandscape
Indicates that an entity possesses a variety of distinct physical or environmental features within its geographic area.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bd865081909b5f84405c40ff14 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.