Triple
T17891184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broccoli |
E447318
|
entity |
| Predicate | isOftenRecommendedFor |
P58814
|
FINISHED |
| Object | Healthy diet |
—
|
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: Healthy diet | Statement: [Broccoli, isOftenRecommendedFor, Healthy diet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenRecommendedFor Context triple: [Broccoli, isOftenRecommendedFor, Healthy diet]
-
A.
isOftenRecommendedBy
Indicates that one entity is frequently suggested or endorsed by another as a preferred or suitable choice.
-
B.
commendedFor
Indicates that one entity has expressed praise or approval toward another entity specifically because of a particular action, quality, or achievement.
-
C.
admissionRecommendedFor
Indicates that one party has suggested or endorsed that another party be granted admission to a program, institution, or event.
-
D.
recommendedIn
chosen
Indicates that one entity is suggested or endorsed within the context, content, or scope of another entity (such as a document, list, or recommendation source).
-
E.
implementsRecommendationOf
Indicates that one entity carries out or puts into practice a recommendation that was proposed or issued by another entity.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7948888190b59ddc7061d13e84 |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:19 a.m.