Triple
T23280835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stachybotryaceae |
E588855
|
entity |
| Predicate | includesSpeciesWith |
P45064
|
FINISHED |
| Object | darkly pigmented conidia |
—
|
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: darkly pigmented conidia | Statement: [Stachybotryaceae, includesSpeciesWith, darkly pigmented conidia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSpeciesWith Context triple: [Stachybotryaceae, includesSpeciesWith, darkly pigmented conidia]
-
A.
includesSpecies
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
-
B.
includesSpeciesFrom
Indicates that one collection, group, or set contains one or more species that originate from or belong to another specified source or context.
-
C.
includesSpeciesWithStatus
Indicates that a collection, area, or taxonomic group contains at least one species that has a specified conservation or legal status.
-
D.
belongsToSpecies
Indicates that an individual organism is a member of, or classified under, a particular biological species.
-
E.
includesTaxaWith
chosen
Indicates that an entity contains or encompasses one or more specified taxa within its scope or membership.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19642b46481909fd455acd2155792 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:56 p.m.