Triple
T22444240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dojo |
E554825
|
entity |
| Predicate | replacedBy |
P101
|
FINISHED |
| Object | Dojo 2 |
—
|
NE NERFINISHED |
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: Dojo 2 | Statement: [Dojo, replacedBy, Dojo 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dojo 2 Context triple: [Dojo, replacedBy, Dojo 2]
-
A.
Dojo
chosen
Dojo is a long-standing open-source JavaScript toolkit and framework for building rich, modular web applications.
-
B.
Dojo
Dojo is a training hall in Toad Town from the Paper Mario series where players can battle masters to test and improve their combat skills.
-
C.
Blade and Bow
Blade and Bow is a Kentucky straight bourbon whiskey brand that pays homage to the historic Stitzel-Weller Distillery and its traditional craftsmanship.
-
D.
Katano
Katano is a city in Osaka Prefecture, Japan, known for its residential suburbs and proximity to the Osaka metropolitan area.
-
E.
Tower of Justice
The Tower of Justice is a prominent structure within the Second Courtyard of Istanbul’s Topkapi Palace, historically used for overseeing judicial affairs and symbolizing the sultan’s authority.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae517208190924a7968723f55ef |
completed | April 29, 2026, 1:12 a.m. |
Created at: April 16, 2026, 8:47 p.m.