Triple
T15653562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsuru |
E376371
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Narusawa |
E691231
|
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: Narusawa | Statement: [Tsuru, borderedBy, Narusawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narusawa Context triple: [Tsuru, borderedBy, Narusawa]
-
A.
Narusawa
chosen
Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
-
B.
Nakatane
Nakatane is a town on Tanegashima Island in Kagoshima Prefecture, Japan, known for its role in local administration and its proximity to the island’s space-related facilities and coastal scenery.
-
C.
Nakata
Nakata is a Japanese surname most famously associated with former professional footballer Hidetoshi Nakata, one of Japan’s best-known international players.
-
D.
Nagai
Nagai is a city in Yamagata Prefecture, Japan, known for its scenic riverside setting and surrounding mountainous countryside.
-
E.
Yorinaga
Yorinaga is a Japanese given name most notably borne by the Heian-period court noble Fujiwara no Yorinaga.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef089948190902ec22f4d7bc932 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccafa04c8190849980aeda8f3435 |
completed | May 16, 2026, 1:47 a.m. |
Created at: April 10, 2026, 4:15 a.m.