Triple
T3711048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | hitsumabushi |
E81410
|
entity |
| Predicate | eatenInStages |
P50950
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [hitsumabushi, eatenInStages, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eatenInStages Context triple: [hitsumabushi, eatenInStages, true]
-
A.
eatenAs
Indicates that one entity is consumed or used as food by another entity.
-
B.
eatenOnOccasion
Indicates that one entity is consumed or eaten by another only at certain times or under specific circumstances, rather than regularly or habitually.
-
C.
stages
Indicates that one entity organizes, presents, or sets up another entity (such as an event, performance, or situation) to take place or be displayed.
-
D.
swallowed
Indicates that one entity caused another entity to pass from the mouth into the body, typically down the throat.
-
E.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc584b86c8190ba1a1073da440b07 |
completed | March 8, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc133ef50819094c2b971f31f1615 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:33 p.m.