Triple
T8257184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinode |
E193099
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Ōme |
E721176
|
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: Ōme | Statement: [Hinode, borderedBy, Ōme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōme Context triple: [Hinode, borderedBy, Ōme]
-
A.
Ōme
chosen
Ōme is a city in the western part of Tokyo, Japan, known for its natural scenery, hiking trails, and access to the Tama River.
-
B.
Tarō
Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
-
C.
Yamanakako
Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
-
D.
Itami
Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
-
E.
Ōnamuchi
Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78fb91d08190904c59ccc0cd444a |
completed | March 31, 2026, 7:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd681e22188190b07ce523e2554812 |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:49 p.m.