Triple
T23689218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilachlidiaceae |
E585252
|
entity |
| Predicate | isMulticellularOrganismTaxon |
P50714
|
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: [Tilachlidiaceae, isMulticellularOrganismTaxon, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMulticellularOrganismTaxon Context triple: [Tilachlidiaceae, isMulticellularOrganismTaxon, true]
-
A.
isMulticellular
chosen
Indicates that an organism consists of multiple cells organized into a single functional individual.
-
B.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
-
C.
organismType
Indicates the biological classification or kind of organism that an entity is.
-
D.
taxonOf
Indicates that one entity is the taxonomic group (taxon) to which the other entity belongs.
-
E.
isModelOrganism
Indicates that one organism is used as a representative experimental system for studying biological processes relevant to other organisms.
- 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5c0a218819096c2d174b004c47d |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:52 p.m.