Triple
T22851277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamthong |
E566360
|
entity |
| Predicate | typicalSpiceUsage |
P102161
|
FINISHED |
| Object | minimal spices |
—
|
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: minimal spices | Statement: [Chamthong, typicalSpiceUsage, minimal spices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSpiceUsage Context triple: [Chamthong, typicalSpiceUsage, minimal spices]
-
A.
hasSpice
Indicates that one entity contains, includes, or is characterized by a particular spice or set of spices.
-
B.
typicalRoastUse
Indicates that something is commonly or characteristically used for roasting.
-
C.
typicallyUsesSpirit
Indicates that an entity customarily or most often employs a spirit or spiritual means to perform its actions or fulfill its function.
-
D.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
E.
typicalSpices
chosen
Indicates that certain spices are commonly or characteristically used in association with a particular dish, cuisine, or ingredient.
- 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_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. |
Created at: April 17, 2026, 3:36 p.m.