Triple
T6232555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nifrel |
E139390
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Suita, Osaka, Japan |
E264894
|
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, Osaka, Japan | Statement: [Nifrel, locatedIn, Suita, Osaka, Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suita, Osaka, Japan Context triple: [Nifrel, locatedIn, Suita, Osaka, Japan]
-
A.
Suita, Osaka
chosen
Suita, Osaka is a city in northern Osaka Prefecture, Japan, known as a major suburban and educational hub that hosts the main campus of Osaka University.
-
B.
Osaka, Kansai, Japan
Osaka, Kansai, Japan is a major Japanese metropolitan region known as an economic, cultural, and transportation hub that will host the World Expo 2025.
-
C.
Abeno-ku, Osaka, Japan
Abeno-ku is a central ward of Osaka, Japan, known as a major commercial and transportation hub that hosts the landmark skyscraper Abeno Harukas.
-
D.
Namba, Osaka, Japan
Namba, Osaka, Japan is a major commercial and entertainment district in central Osaka known for its bustling shopping streets, nightlife, and transportation hubs.
-
E.
Sakai, Osaka
Sakai, Osaka is a historic port city in Japan’s Osaka Prefecture, known for its ancient burial mounds, traditional craftsmanship, and role as a major commercial center.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062ee6f088190bf72692eb8ffb761 |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243f785dc819084d2a11151d84227 |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:22 p.m.