Triple
T27152729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanohashidate |
E682433
|
entity |
| Predicate | hasTraditionalViewingCustom |
P189329
|
FINISHED |
| Object | matanozoki |
—
|
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: matanozoki | Statement: [Amanohashidate, hasTraditionalViewingCustom, matanozoki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalViewingCustom Context triple: [Amanohashidate, hasTraditionalViewingCustom, matanozoki]
-
A.
televisionTradition
Indicates a customary or recurring practice involving watching or engaging with television as part of a shared routine or cultural habit.
-
B.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
C.
traditionalView
Indicates that one entity holds or represents a conventional, long-established perspective or interpretation about another entity or topic.
-
D.
hasTraditionalRights
Indicates that an entity possesses customary or historically established rights or privileges in relation to another entity or resource.
-
E.
isWatchedOnTelevisionBy
Indicates that an entity (such as a program or event) is being viewed on television by a particular person or audience.
- 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: April 27, 2026, 9:15 a.m.