Triple
T13395436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiliaceae |
E319690
|
entity |
| Predicate | isFormerTaxon |
P2575
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tiliaceae, isFormerTaxon, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFormerTaxon Context triple: [Tiliaceae, isFormerTaxon, true]
-
A.
taxonomicSynonymOf
Indicates that two taxonomic names refer to the same biological taxon, treating one as an alternative or equivalent scientific name for the other.
-
B.
formerSpecies
Indicates that an entity was previously classified as a particular species but no longer holds that species status.
-
C.
isFormerEntity
chosen
Indicates that an entity previously held a particular status, role, or identity but no longer does so.
-
D.
taxonomicStatus
Indicates the formal classification status of a taxon within a taxonomic system, such as whether it is accepted, synonymized, provisional, or invalid.
-
E.
taxonOf
Indicates that one entity is the taxonomic group (taxon) to which the other entity belongs.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d892d08190b1b192b93fe3d72d |
completed | April 12, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.