Triple
T11871178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dan zai noodles |
E282409
|
entity |
| Predicate | canBeServed |
P101969
|
FINISHED |
| Object | dry |
—
|
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: dry | Statement: [dan zai noodles, canBeServed, dry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeServed Context triple: [dan zai noodles, canBeServed, dry]
-
A.
canServeIn
Indicates that one entity is eligible, authorized, or suitable to perform a role, function, or duty within another entity, context, or organization.
-
B.
canServeOn
Indicates that one entity is eligible or permitted to serve on another entity, such as a group, body, or committee.
-
C.
isServed
Indicates that one entity provides or delivers a service, product, or assistance to another entity.
-
D.
mayServe
Indicates that one entity is permitted or authorized to provide a service or function to another entity.
-
E.
isServedAt
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:43 p.m.