Triple
T12445017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nichiren |
E297376
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Kominato
Kominato is a coastal area in present-day Chiba Prefecture, Japan, historically known as the birthplace of the Buddhist monk Nichiren.
|
E1242176
|
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: Kominato | Statement: [Nichiren, birthPlace, Kominato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kominato Context triple: [Nichiren, birthPlace, Kominato]
-
A.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
B.
Kōta
Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
-
C.
Iwatsuki
Iwatsuki is a former city in Saitama Prefecture, Japan, now a ward of Saitama City known historically for its traditional doll-making industry.
-
D.
Wakatsuki
Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
-
E.
Wakamatsu
Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
- 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: Kominato Triple: [Nichiren, birthPlace, Kominato]
Generated description
Kominato is a coastal area in present-day Chiba Prefecture, Japan, historically known as the birthplace of the Buddhist monk Nichiren.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kominato Target entity description: Kominato is a coastal area in present-day Chiba Prefecture, Japan, historically known as the birthplace of the Buddhist monk Nichiren.
-
A.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
B.
Kōta
Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
-
C.
Iwatsuki
Iwatsuki is a former city in Saitama Prefecture, Japan, now a ward of Saitama City known historically for its traditional doll-making industry.
-
D.
Wakatsuki
Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
-
E.
Wakamatsu
Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8fd9848190a83410353d88ea8d |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfb725d48190bdca0a85ca7f440c |
completed | May 10, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_6a00d1a88c188190bde3fe3c01efb453 |
completed | May 10, 2026, 6:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d20ae52c8190b4c45af68aa40399 |
completed | May 10, 2026, 6:44 p.m. |
Created at: April 8, 2026, 9:55 p.m.