Triple
T15954898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapporo metropolitan area |
E386908
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object | Chitose |
E1171714
|
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: Chitose | Statement: [Sapporo metropolitan area, hasSuburb, Chitose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chitose Context triple: [Sapporo metropolitan area, hasSuburb, Chitose]
-
A.
Chitose
Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
-
B.
Chitose
Chitose was a Japanese warship of the Imperial Japanese Navy, originally built as a seaplane tender and later converted into a light aircraft carrier that was sunk in World War II.
-
C.
Inazawa
Inazawa is a city in central Japan known for its agricultural production and historic shrines, located within Aichi Prefecture.
-
D.
Chitose, Hokkaido
chosen
Chitose, Hokkaido is a city in Japan’s northernmost prefecture known as a gateway to New Chitose Airport and the scenic Lake Shikotsu area.
-
E.
Aioi
Aioi is a city in Hyōgo Prefecture, Japan, known for its coastal location along the Seto Inland Sea and its traditional fishing and maritime industries.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f94b108190905d295c3405860e |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a502c82881908d5b6f7c23e8a403 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 4:53 a.m.