Triple
T15947101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyonaka |
E386712
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Suita |
E26300
|
NE 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: Suita | Statement: [Toyonaka, borderedBy, Suita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suita Context triple: [Toyonaka, borderedBy, Suita]
-
A.
Suita
chosen
Suita is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub that hosted part of Expo '70 and is home to Osaka University’s main campus.
-
B.
Saiki
Saiki is a coastal city in southern Ōita Prefecture, Japan, known for its fishing industry and scenic seaside landscapes.
-
C.
Maizuru
Maizuru is a coastal city in northern Kyoto Prefecture, Japan, known for its natural harbor, former naval base, and role as a key repatriation port after World War II.
-
D.
Shiodome
Shiodome is a modern high-rise business and commercial district in Tokyo, Japan, known for housing major corporate headquarters, upscale hotels, and shopping complexes.
-
E.
Inuyama
Inuyama is a historic Japanese city in Aichi Prefecture best known for Inuyama Castle, one of Japan’s oldest surviving wooden castles, and its traditional cormorant fishing on the Kiso River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d1a4c08190afc325491ba38870 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084a6d6308190ad57a51b380171a2 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 4:53 a.m.