Triple
T11491987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kan-Etsu Expressway |
E272436
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Niigata |
E27598
|
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: Niigata | Statement: [Kan-Etsu Expressway, servesCity, Niigata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niigata Context triple: [Kan-Etsu Expressway, servesCity, Niigata]
-
A.
Niigata
chosen
Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
-
B.
Ichinoseki
Ichinoseki is a city in northeastern Japan known as a gateway to the scenic and historic sites of southern Iwate Prefecture.
-
C.
Tsuruga
Tsuruga is a coastal city in Fukui Prefecture, Japan, known as a key port and transportation hub on the Sea of Japan side of Honshu.
-
D.
Kanazawa
Kanazawa is a historic Japanese city on the Sea of Japan coast, renowned for its well-preserved samurai and geisha districts, traditional crafts, and the celebrated Kenrokuen Garden.
-
E.
Kōriyama
Kōriyama is a major commercial and transportation hub city located in Japan’s Tōhoku region.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a21fb048190acb0960aefd4fe0a |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff288ba908190a36c4784331d1e60 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 8, 2026, 9:36 p.m.