Triple
T16120755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 秦野市 |
E391130
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Ōi |
E391132
|
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: Ōi | Statement: [秦野市, borderedBy, Ōi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōi Context triple: [秦野市, borderedBy, Ōi]
-
A.
Ōi
chosen
Ōi is a town in Kanagawa Prefecture, Japan, known for its residential communities and proximity to the city of Hadano.
-
B.
Ōjin
Ōjin is a semi-legendary early Japanese emperor traditionally regarded as the 15th ruler of Japan and later venerated as the Shinto war deity Hachiman.
-
C.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
-
D.
Oeyo
Oeyo was a prominent noblewoman of Japan’s late Sengoku and early Edo periods, best known as the daughter of Azai Nagamasa and Oichi and the mother of the third Tokugawa shogun, Iemitsu.
-
E.
Ōhō
Ōhō was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20200acac8190a47e6a917ff8dd34 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a61e448190be1f8c79cae6c7ee |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.