Triple
T15255270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hagoita-ichi |
E364629
|
entity |
| Predicate | associatedGame |
P84357
|
FINISHED |
| Object | hanetsuki |
—
|
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: hanetsuki | Statement: [Hagoita-ichi, associatedGame, hanetsuki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedGame Context triple: [Hagoita-ichi, associatedGame, hanetsuki]
-
A.
relatedGame
Indicates that one game has a notable connection or association with another game, such as shared content, themes, or series.
-
B.
associatedWithGame
chosen
Indicates that there is a relationship or connection between an entity and a particular game.
-
C.
seriesGame
Indicates that a game is part of, or belongs to, a particular series or franchise.
-
D.
associatedWithGameNumber
Indicates a relationship where something is linked or tied to a specific game identified by its number.
-
E.
videoGame
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.