Triple
T38031871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neea verticillata |
E948929
|
entity |
| Predicate | hasSpecificEpithet |
P117717
|
FINISHED |
| Object | verticillata |
—
|
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: verticillata | Statement: [Neea verticillata, hasSpecificEpithet, verticillata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecificEpithet Context triple: [Neea verticillata, hasSpecificEpithet, verticillata]
-
A.
hasGenusEpithet
Indicates that an organism or taxonomic name is associated with a specific genus epithet in its scientific classification.
-
B.
specificEpithet
chosen
Indicates the taxonomic relationship where a specific epithet designates the species-level name within a binomial scientific name, distinguishing one species from others in the same genus.
-
C.
hasEponymousTaxon
Indicates that an entity has a taxonomic group (such as a species or genus) that is named after it.
-
D.
hasScientificDesignation
Indicates that an entity is associated with a specific formal scientific name or designation used in scientific classification or nomenclature.
-
E.
hasGenus
Indicates that one entity belongs to, or is classified under, the biological genus represented by the other entity.
- 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
Created at: May 3, 2026, 4:20 p.m.