Triple
T12659196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noto Province |
E302370
|
entity |
| Predicate | hasCulturalRegion |
P1968
|
FINISHED |
| Object | Naka-Noto |
E1135477
|
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: Naka-Noto | Statement: [Noto Province, hasCulturalRegion, Naka-Noto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naka-Noto Context triple: [Noto Province, hasCulturalRegion, Naka-Noto]
-
A.
Oku-Noto
chosen
Oku-Noto is a remote, rugged coastal region at the northern tip of Japan’s Noto Peninsula, known for its traditional fishing villages, terraced rice fields, and well-preserved rural culture.
-
B.
Ninohe
Ninohe is a small city in northeastern Japan known for its rural landscapes, traditional culture, and location within Iwate Prefecture in the Tōhoku region.
-
C.
Nonoichi
Nonoichi is a city in Ishikawa Prefecture, Japan, known for its residential character and proximity to the regional hub of Kanazawa.
-
D.
Tonekabon
Tonekabon is a coastal city in northern Iran known for its lush landscapes, citrus orchards, and location along the southern shore of the Caspian Sea.
-
E.
Nakanai
Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961636db8819099c438b24bcfd866 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed314bb9481908144c5399aa62ffa |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 9, 2026, 5:19 p.m.