Triple
T3711051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | hitsumabushi |
E81410
|
entity |
| Predicate | thirdStageDescription |
P50953
|
FINISHED |
| Object | eel and rice eaten with broth poured over |
—
|
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: eel and rice eaten with broth poured over | Statement: [hitsumabushi, thirdStageDescription, eel and rice eaten with broth poured over]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdStageDescription Context triple: [hitsumabushi, thirdStageDescription, eel and rice eaten with broth poured over]
-
A.
thirdStageType
Indicates the specific kind or classification of a third stage within a multi-stage process or structure.
-
B.
thirdStageDesignation
Indicates that something has been assigned or labeled with a specific designation at the third stage of a process, sequence, or hierarchy.
-
C.
thirdStageEngineType
Indicates the specific type or model of engine used in the third stage of a multi-stage launch vehicle or rocket.
-
D.
secondStage
Indicates that something functions as the subsequent or follow-up stage in a multi-stage process or sequence.
-
E.
secondStageType
Indicates the specific kind or category of a process, object, or event that occurs as the second stage in a multi-stage sequence.
- 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.