Triple
T6061346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | samgyetang |
E135037
|
entity |
| Predicate | isEatenDuring |
P56694
|
FINISHED |
| Object | summer |
—
|
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: summer | Statement: [samgyetang, isEatenDuring, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEatenDuring Context triple: [samgyetang, isEatenDuring, summer]
-
A.
isEatenIn
chosen
Indicates that one entity (typically food) is consumed within the context, location, or occasion specified by another entity.
-
B.
eatenAs
Indicates that one entity is consumed or used as food by another entity.
-
C.
eatenOnOccasion
Indicates that one entity is consumed or eaten by another only at certain times or under specific circumstances, rather than regularly or habitually.
-
D.
eatenInStages
Indicates that the act of eating an item occurs over multiple distinct phases or time intervals rather than in a single continuous event.
-
E.
largelyConsumedBy
Indicates that something is mostly or predominantly eaten or used up by a particular consumer or group.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0571fcecc8190a68e0d0668bbbfa7 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049f031408190b08b2766237c5dd0 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:10 p.m.