Triple
T10181682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Monorail Co., Ltd. |
E236799
|
entity |
| Predicate | operatesInCity |
P3207
|
FINISHED |
| Object | Settsu |
E235551
|
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: Settsu | Statement: [Osaka Monorail Co., Ltd., operatesInCity, Settsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Settsu Context triple: [Osaka Monorail Co., Ltd., operatesInCity, Settsu]
-
A.
Settsu
chosen
Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
-
B.
Minamiawaji
Minamiawaji is a coastal city located on the southern part of Awaji Island in Japan, known for its scenic landscapes, agriculture, and role as a gateway between Honshu and Shikoku.
-
C.
Ryōtsu
Ryōtsu was a former city on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
-
D.
Ōshū
Ōshū is a city in Japan’s Tōhoku region known for its rural landscapes, historical sites, and agricultural production.
-
E.
Tsutsumi
Tsutsumi is a Japanese surname associated with several notable figures in business, politics, and the arts in Japan.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded32b91c8190b01ad37b2456080a |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f470cbce14819099d47d468ae61df7 |
completed | May 1, 2026, 9:22 a.m. |
Created at: March 30, 2026, 9:12 p.m.