Triple
T17102397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tama area |
E415010
|
entity |
| Predicate | hasPart |
P35
|
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: [Tama area, hasPart, Ōme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōme Context triple: [Tama area, hasPart, 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.
Ohatsu
Ohatsu was a prominent Japanese noblewoman of the late Sengoku and early Edo periods, known as the daughter of Azai Nagamasa and Oichi and for her politically significant marriage into the Kyōgoku clan.
-
E.
Shōkū
Shōkū was a prominent Japanese Buddhist monk of the Kamakura period and a leading disciple of Hōnen who helped develop and spread Pure Land (Jōdo) teachings.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc239a088190a776fe0f4361ffc7 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139fdda488190a1ca5c7ca875e044 |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:35 a.m.