Triple
T18954365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benesse Art Site Naoshima |
E463732
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Uno Port |
—
|
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: Uno Port | Statement: [Benesse Art Site Naoshima, near, Uno Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uno Port Context triple: [Benesse Art Site Naoshima, near, Uno Port]
-
A.
Uno Port
chosen
Uno Port is a coastal port area in Tamano, Okayama Prefecture, Japan, serving as a key gateway to the islands of the Seto Inland Sea and a primary access point for contemporary art events and tourism.
-
B.
Uno
Uno is a compact city car model produced by the Italian automaker Fiat.
-
C.
Uno
Uno is one of the islands in Guinea-Bissau’s Bijagós Archipelago, a coastal island group in West Africa known for its rich biodiversity and traditional communities.
-
D.
Uno
Uno is a popular shedding-type card game in which players race to discard all their cards by matching colors or numbers and using special action cards.
-
E.
Uno
Uno is a Norwegian crime drama film best known for starring and being co-written by actor-director Aksel Hennie.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d545f47881909110e6a92e86b384 |
completed | April 20, 2026, 7:27 a.m. |
Created at: April 10, 2026, noon