Triple
T14219764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akiruno |
E352457
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Ome
Ome is a city in western Tokyo, Japan, known for its natural scenery, hiking spots, and access to the Tama River and surrounding mountains.
|
E1087804
|
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: Ome | Statement: [Akiruno, borderedBy, Ome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ome Context triple: [Akiruno, borderedBy, Ome]
-
A.
Oyugis
Oyugis is a town in western Kenya that serves as a key commercial and administrative center in the former Rachuonyo District of Homa Bay County.
-
B.
Osakasayama
Osakasayama is a suburban city in Osaka Prefecture, Japan, known for its residential character and proximity to the Osaka metropolitan area.
-
C.
Noda
Noda is a Japanese surname borne by various notable figures in politics, entertainment, and other fields.
-
D.
Omine
Omine is a revered sacred mountain in Japan’s Kii Mountain Range, known as a key center of Shugendō mountain worship and an important stop on traditional pilgrimage routes.
-
E.
Ninohe
Ninohe is a small city in northeastern Japan known for its rural landscapes, traditional culture, and location within Iwate Prefecture in the Tōhoku region.
- 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: Ome Triple: [Akiruno, borderedBy, Ome]
Generated description
Ome is a city in western Tokyo, Japan, known for its natural scenery, hiking spots, and access to the Tama River and surrounding mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ome Target entity description: Ome is a city in western Tokyo, Japan, known for its natural scenery, hiking spots, and access to the Tama River and surrounding mountains.
-
A.
Oyugis
Oyugis is a town in western Kenya that serves as a key commercial and administrative center in the former Rachuonyo District of Homa Bay County.
-
B.
Osakasayama
Osakasayama is a suburban city in Osaka Prefecture, Japan, known for its residential character and proximity to the Osaka metropolitan area.
-
C.
Noda
Noda is a Japanese surname borne by various notable figures in politics, entertainment, and other fields.
-
D.
Omine
Omine is a revered sacred mountain in Japan’s Kii Mountain Range, known as a key center of Shugendō mountain worship and an important stop on traditional pilgrimage routes.
-
E.
Ninohe
Ninohe is a small city in northeastern Japan known for its rural landscapes, traditional culture, and location within Iwate Prefecture in the Tōhoku region.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de621258d4819085f358cd2cf109e4 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd28121a288190975d5852f9a503d4 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd29d254608190a9f0b8e5623451aa |
completed | May 8, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2aa5bf3c8190bb62ce780d417b7d |
completed | May 8, 2026, 12:13 a.m. |
Created at: April 10, 2026, 1:06 a.m.