Triple
T10479623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DDT |
E247136
|
entity |
| Predicate | bioaccumulatesIn |
P94249
|
FINISHED |
| Object | fatty tissues of animals |
—
|
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: fatty tissues of animals | Statement: [DDT, bioaccumulatesIn, fatty tissues of animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bioaccumulatesIn Context triple: [DDT, bioaccumulatesIn, fatty tissues of animals]
-
A.
biota
Indicates the presence or composition of living organisms (flora, fauna, or other life forms) associated with a given entity or environment.
-
B.
bioluminescent
Indicates that an entity produces and emits light through a biological chemical reaction.
-
C.
hasBioavailability
Indicates that a substance has a specified degree or measure of bioavailability, i.e., the proportion that enters circulation and can have an active effect.
-
D.
isMetabolizedBy
Indicates that a substance is biochemically broken down or transformed through metabolic processes carried out by a specified organism, cell type, or enzyme system.
-
E.
largelyConsumedBy
Indicates that something is mostly or predominantly eaten or used up by a particular consumer or group.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095b2ec881909e1220d83e750a75 |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:22 p.m.