Triple
T7715014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Gaikan Expressway |
E174857
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
Gaikan
Gaikan is a major orbital expressway route forming part of Tokyo’s ring road system in Japan.
|
E685071
|
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: Gaikan | Statement: [Tokyo Gaikan Expressway, hasAbbreviation, Gaikan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaikan Context triple: [Tokyo Gaikan Expressway, hasAbbreviation, Gaikan]
-
A.
Ginga
Ginga was a Japanese X-ray astronomy satellite that conducted important observations of cosmic X-ray sources in the late 1980s and early 1990s.
-
B.
Hōshō
Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
-
C.
Mahikari
Mahikari is a Japanese new religious movement known for its emphasis on spiritual purification through the transmission of divine light.
-
D.
Naikaku
Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
-
E.
Yamagumo
Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
- 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: Gaikan Triple: [Tokyo Gaikan Expressway, hasAbbreviation, Gaikan]
Generated description
Gaikan is a major orbital expressway route forming part of Tokyo’s ring road system in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaikan Target entity description: Gaikan is a major orbital expressway route forming part of Tokyo’s ring road system in Japan.
-
A.
Ginga
Ginga was a Japanese X-ray astronomy satellite that conducted important observations of cosmic X-ray sources in the late 1980s and early 1990s.
-
B.
Hōshō
Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
-
C.
Mahikari
Mahikari is a Japanese new religious movement known for its emphasis on spiritual purification through the transmission of divine light.
-
D.
Naikaku
Naikaku is the Japanese term for the Cabinet, the executive branch of Japan’s national government headed by the Prime Minister.
-
E.
Yamagumo
Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702cbe74081908502ac670515fa3c |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b508fa2081908ed05ca8c4815249 |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b7b90d74819098b878c382474d6d |
completed | March 29, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b81816c081909f409d06ccffbe04 |
completed | March 29, 2026, 5:26 a.m. |
Created at: March 27, 2026, 4:04 p.m.