Triple
T16022015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Tōya |
E388623
|
entity |
| Predicate | hasCityOnShore |
P969
|
FINISHED |
| Object |
Toyako
Toyako is a town in Hokkaido, Japan, known as a gateway to the scenic Lake Tōya area and nearby volcanic and hot spring attractions.
|
E1189771
|
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: Toyako | Statement: [Lake Tōya, hasCityOnShore, Toyako]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyako Context triple: [Lake Tōya, hasCityOnShore, Toyako]
-
A.
Toyono
Toyono is a small town in Osaka Prefecture, Japan, known for its rural landscape and proximity to the Osaka metropolitan area.
-
B.
Tokashiki
Tokashiki is a small island municipality in Okinawa Prefecture, Japan, known for its clear waters, coral reefs, and popular diving and snorkeling spots within the Kerama Islands.
-
C.
Tameyoshi
Tameyoshi was a Heian-period Japanese samurai leader of the Minamoto clan who played a key role in early clan conflicts that preceded the Genpei War.
-
D.
Tocho
Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
-
E.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
- 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: Toyako Triple: [Lake Tōya, hasCityOnShore, Toyako]
Generated description
Toyako is a town in Hokkaido, Japan, known as a gateway to the scenic Lake Tōya area and nearby volcanic and hot spring attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toyako Target entity description: Toyako is a town in Hokkaido, Japan, known as a gateway to the scenic Lake Tōya area and nearby volcanic and hot spring attractions.
-
A.
Toyono
Toyono is a small town in Osaka Prefecture, Japan, known for its rural landscape and proximity to the Osaka metropolitan area.
-
B.
Tokashiki
Tokashiki is a small island municipality in Okinawa Prefecture, Japan, known for its clear waters, coral reefs, and popular diving and snorkeling spots within the Kerama Islands.
-
C.
Tameyoshi
Tameyoshi was a Heian-period Japanese samurai leader of the Minamoto clan who played a key role in early clan conflicts that preceded the Genpei War.
-
D.
Tocho
Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
-
E.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18323fc0881908bab7126d9ccf67d |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf2f7c4c8190b1290ac28aad8cd0 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd065cb948190b0ad7e89a12ce535 |
completed | May 10, 2026, 12:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd1a52de08190a7b283af83be1f42 |
completed | May 10, 2026, 12:30 a.m. |
Created at: April 10, 2026, 4:55 a.m.