Triple
T22080001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trout |
E545623
|
entity |
| Predicate | omega3Content |
P146563
|
FINISHED |
| Object | rich |
—
|
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: rich | Statement: [Trout, omega3Content, rich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: omega3Content Context triple: [Trout, omega3Content, rich]
-
A.
fattyAcid
Indicates a relationship where one entity is a fatty acid component, derivative, or participant in a process involving another entity.
-
B.
oilContent
Indicates the amount or proportion of oil present in a given substance, material, or item.
-
C.
cornucopiaContents
Indicates that one entity is an item or element contained within, or making up part of, the other entity represented as a cornucopia.
-
D.
focusesOnNutrition
Indicates that the subject’s primary attention, activity, or content is centered on nutrition-related topics, practices, or goals.
-
E.
canon3Content
Indicates that something is part of, or constitutes, the content of a third-level canon or authoritative collection.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b56d5c8190aa825fe02e3ad917 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69e6fad59ef48190b62a2af636918a15 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:28 p.m.