Triple
T29687849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nasi lengko |
E751134
|
entity |
| Predicate | oftenEatenAt |
P104841
|
FINISHED |
| Object | breakfast |
—
|
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: breakfast | Statement: [nasi lengko, oftenEatenAt, breakfast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenEatenAt Context triple: [nasi lengko, oftenEatenAt, breakfast]
-
A.
typicallyEatenAt
Indicates that something is most commonly or customarily eaten during a particular time, event, or context.
-
B.
isOftenEaten
Indicates that the subject is frequently consumed as food by some agent or group.
-
C.
commonlyConsumedAt
chosen
Indicates that one entity is typically eaten or drunk during, or in association with, a particular time, event, or context.
-
D.
isTypicallyEatenWith
Indicates that one item is commonly consumed together with another as part of the same eating occasion or dish.
-
E.
isEatenIn
Indicates that one entity (typically food) is consumed within the context, location, or occasion specified 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 28, 2026, 7:14 p.m.