Triple
T405744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo ’70 Commemorative Park |
E9378
|
entity |
| Predicate | city |
P40
|
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: [Expo ’70 Commemorative Park, city, Suita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suita Context triple: [Expo ’70 Commemorative Park, city, 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.
Minoh
Minoh is a suburban city in northern Osaka Prefecture, Japan, known for its scenic Minoh Waterfall, autumn foliage, and residential communities.
-
C.
Moriguchi
Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
-
D.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
-
E.
Minato
Minato is a central special ward of Tokyo known for its major business districts, foreign embassies, and landmarks such as Tokyo Tower and Roppongi.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecbc00508190bbb602179273f29c |
completed | Feb. 28, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7623e27c81909022abd9950753d1 |
completed | March 7, 2026, 7:01 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.