Triple
T23156352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamba Osaka |
E578448
|
entity |
| Predicate | homeCity |
P263
|
FINISHED |
| Object | Suita |
—
|
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: Suita | Statement: [Gamba Osaka, homeCity, Suita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suita Context triple: [Gamba Osaka, homeCity, 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.
Suita City
Suita City is a municipality in Osaka Prefecture, Japan, known as a residential and commercial hub within the Osaka metropolitan area and home to attractions such as the Expo ’70 Commemorative Park.
-
C.
Saiki
Saiki is a coastal city in southern Ōita Prefecture, Japan, known for its fishing industry and scenic seaside landscapes.
-
D.
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.
-
E.
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.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efd598c81908fba9d583e30660e |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.