Triple
T22851287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamthong |
E566360
|
entity |
| Predicate | healthPerception |
P149951
|
FINISHED |
| Object | healthy food |
—
|
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 food | Statement: [Chamthong, healthPerception, healthy food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healthPerception Context triple: [Chamthong, healthPerception, healthy food]
-
A.
healthTheme
Indicates that the subject is associated with, focuses on, or is characterized by a particular health-related topic or theme.
-
B.
healthIndicator
Indicates a measure or signal that reflects the health status or condition of an entity.
-
C.
healthResponsibility
Indicates that an entity has a duty or obligation to maintain, protect, or manage the health or well-being of another entity or itself.
-
D.
healthProxy
Indicates that one entity is authorized to make health-related or medical decisions on behalf of another entity.
-
E.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb8b3588190b2bc8e7021f9ef10 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:36 p.m.