Triple
T4645708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drosophila melanogaster |
E101765
|
entity |
| Predicate | odorResponse |
P58886
|
FINISHED |
| Object | attracted to ethanol-containing substrates |
—
|
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: attracted to ethanol-containing substrates | Statement: [Drosophila melanogaster, odorResponse, attracted to ethanol-containing substrates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: odorResponse Context triple: [Drosophila melanogaster, odorResponse, attracted to ethanol-containing substrates]
-
A.
odor
Indicates that one entity emits, possesses, or is characterized by a particular smell detectable by another entity.
-
B.
allowsTastingOf
Indicates that one entity permits another entity to sample or try the taste of something.
-
C.
madeWithAlcohol
Indicates that something is created, prepared, or produced using alcohol as an ingredient or component.
-
D.
pouredOutBy
Indicates that a substance or liquid was released or emptied from a container or source by a particular agent or entity.
-
E.
hasBitternessLevel
Indicates that an entity is associated with a specific degree or intensity of bitterness.
- F. None of above. chosen
Provenance (4 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd663092cc81909308f89ee1a417e4 |
completed | March 20, 2026, 3:22 p.m. |
Created at: March 20, 2026, 1:14 p.m.