Triple
T35307301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trichoptera |
E1019669
|
entity |
| Predicate | speciesCountApprox |
P6211
|
FINISHED |
| Object | over 14000 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: over 14000 described species | Statement: [Trichoptera, speciesCountApprox, over 14000 described species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesCountApprox Context triple: [Trichoptera, speciesCountApprox, over 14000 described species]
-
A.
speciesNumber
Indicates the numerical identifier or count associated with a particular species in a given context.
-
B.
numberOfSpecies
chosen
Indicates the count of distinct species associated with a given entity or context.
-
C.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
D.
generaCountApproximate
Indicates an approximate or estimated number of genera associated with an entity.
-
E.
faunaDiversity
Indicates the variety and richness of animal species present within a given area or ecosystem.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:03 p.m.