Triple
T13433023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Route 37 |
E320158
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Tōyako district
Tōyako district is a scenic area in Hokkaido, Japan, known for Lake Tōya, volcanic landscapes, and hot spring resorts.
|
E1087276
|
NE FINISHED |
How this triple was built (4 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: Tōyako district | Statement: [National Route 37, connects, Tōyako district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tōyako district Context triple: [National Route 37, connects, Tōyako district]
-
A.
Inukami District
Inukami District is a rural administrative district in Shiga Prefecture, Japan, known for its small towns and scenic countryside.
-
B.
Shizunai district
Shizunai district is a notable area within Shinhidaka in Hokkaido, Japan, known historically as a former town and regional center before municipal mergers.
-
C.
Iwanai District
Iwanai District is an administrative district located in Shiribeshi Subprefecture on Japan’s northern island of Hokkaido.
-
D.
Tani District
Tani District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
-
E.
Oyam District
Oyam District is an administrative district in northern Uganda known for its predominantly rural communities and agriculture-based economy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tōyako district Triple: [National Route 37, connects, Tōyako district]
Generated description
Tōyako district is a scenic area in Hokkaido, Japan, known for Lake Tōya, volcanic landscapes, and hot spring resorts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tōyako district Target entity description: Tōyako district is a scenic area in Hokkaido, Japan, known for Lake Tōya, volcanic landscapes, and hot spring resorts.
-
A.
Inukami District
Inukami District is a rural administrative district in Shiga Prefecture, Japan, known for its small towns and scenic countryside.
-
B.
Shizunai district
Shizunai district is a notable area within Shinhidaka in Hokkaido, Japan, known historically as a former town and regional center before municipal mergers.
-
C.
Iwanai District
Iwanai District is an administrative district located in Shiribeshi Subprefecture on Japan’s northern island of Hokkaido.
-
D.
Tani District
Tani District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
-
E.
Oyam District
Oyam District is an administrative district in northern Uganda known for its predominantly rural communities and agriculture-based economy.
- F. None of above. chosen
Provenance (5 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaed41a5481908800033303224adb |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f43bf081908dea65dc05f7c1a2 |
completed | May 8, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69fd2aeea5808190bf350b25f520e6d4 |
completed | May 8, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2b57474881909f780cf51c2e06a3 |
completed | May 8, 2026, 12:16 a.m. |
Created at: April 9, 2026, 9:40 p.m.