Triple
T13979348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etajima |
E336266
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Okimi Town
Okimi Town was a former municipality in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a merger.
|
E1141309
|
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: Okimi Town | Statement: [Etajima, formedByMergerOf, Okimi Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okimi Town Context triple: [Etajima, formedByMergerOf, Okimi Town]
-
A.
Osato Town
Osato Town is a small rural municipality in northeastern Japan known for its agriculture and location within Miyagi Prefecture.
-
B.
Watari Town
Watari Town is a coastal municipality in northeastern Japan known for its agriculture, particularly strawberry cultivation, and its location along the Pacific Ocean in Miyagi Prefecture.
-
C.
Misato Town
Misato Town is a rural municipality in northeastern Japan known for its agricultural landscape and location within Miyagi Prefecture.
-
D.
Oguni Town
Oguni Town is a rural municipality in northern Japan known for its mountainous landscapes, forests, and hot springs within Yamagata Prefecture.
-
E.
Takahata Town
Takahata Town is a rural municipality in northeastern Japan known for its agricultural production, hot springs, and historical sites.
- 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: Okimi Town Triple: [Etajima, formedByMergerOf, Okimi Town]
Generated description
Okimi Town was a former municipality in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a merger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Okimi Town Target entity description: Okimi Town was a former municipality in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a merger.
-
A.
Osato Town
Osato Town is a small rural municipality in northeastern Japan known for its agriculture and location within Miyagi Prefecture.
-
B.
Watari Town
Watari Town is a coastal municipality in northeastern Japan known for its agriculture, particularly strawberry cultivation, and its location along the Pacific Ocean in Miyagi Prefecture.
-
C.
Misato Town
Misato Town is a rural municipality in northeastern Japan known for its agricultural landscape and location within Miyagi Prefecture.
-
D.
Oguni Town
Oguni Town is a rural municipality in northern Japan known for its mountainous landscapes, forests, and hot springs within Yamagata Prefecture.
-
E.
Takahata Town
Takahata Town is a rural municipality in northeastern Japan known for its agricultural production, hot springs, and historical sites.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e9fc7248190a9f26e253286ac3c |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec86c6c6c8190957e398e3dcdd840 |
completed | May 9, 2026, 5:38 a.m. |
| NEDg | Description generation | batch_69fec964fc7c8190ae4217122602f320 |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca1d6c0c8190ab049644153ef087 |
completed | May 9, 2026, 5:46 a.m. |
Created at: April 9, 2026, 10:18 p.m.