Triple
T2598214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Loop Line |
E58281
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | central Osaka |
E260288
|
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: central Osaka | Statement: [Osaka Loop Line, serves, central Osaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: central Osaka Context triple: [Osaka Loop Line, serves, central Osaka]
-
A.
Umeda, Osaka
Umeda, Osaka is a major commercial and transportation district in Osaka, Japan, known for its dense cluster of department stores, office towers, and railway terminals.
-
B.
Chuo-ku, Osaka
chosen
Chuo-ku, Osaka is a central ward of Osaka City known as a major commercial, business, and entertainment hub.
-
C.
central Tokyo
Central Tokyo is the densely built-up core of Japan’s capital, encompassing major business, shopping, and cultural districts such as Omotesando, Shibuya, and Marunouchi.
-
D.
Yodogawa-ku, Osaka
Yodogawa-ku, Osaka is a ward in northern Osaka City known as a major transportation hub, notably hosting Shin-Osaka Station, the city’s primary Shinkansen terminal.
-
E.
Konohana-ku, Osaka
Konohana-ku, Osaka is a ward of Osaka City in Japan known for hosting major attractions like Universal Studios Japan and its themed entertainment areas.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4548b1081909d28f88ea5e14202 |
completed | March 7, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83cc45f8819099d581725a53e527 |
completed | March 10, 2026, 2:37 a.m. |
Created at: March 6, 2026, 9:49 p.m.