Triple
T11221108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōu Main Line |
E265563
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Hirosaki |
E1032925
|
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: Hirosaki | Statement: [Ōu Main Line, connectsCity, Hirosaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hirosaki Context triple: [Ōu Main Line, connectsCity, Hirosaki]
-
A.
Hirosaki
chosen
Hirosaki is a historic castle town in northern Japan known for its well-preserved samurai-era architecture and famous cherry blossom festival.
-
B.
Hachinohe
Hachinohe is a coastal city in northern Japan known for its fishing industry, port facilities, and vibrant local seafood markets.
-
C.
Noshiro
Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
-
D.
Yamagata City
Yamagata City is a regional hub in northeastern Japan known for its hot springs, surrounding mountains, and annual Hanagasa Festival.
-
E.
Marugame
Marugame is a coastal city in Japan’s Kagawa Prefecture, known for Marugame Castle and its traditional uchiwa (paper fans) craftsmanship.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8eb84c48190b4f3bede254afde2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46175b88190ae687073ddaa3d22 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 8, 2026, 9:30 p.m.