Triple

T16409874
Position Surface form Disambiguated ID Type / Status
Subject Kumagaya E398531 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Kawajima
Kawajima is a small town in Saitama Prefecture, Japan, known for its rural landscape and location near the Arakawa River.
 E1211916 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: Kawajima | Statement: [Kumagaya, neighboringMunicipality, Kawajima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kawajima
Context triple: [Kumagaya, neighboringMunicipality, Kawajima]
  • A. Nakajima
    Nakajima was a major Japanese aircraft manufacturer, especially active during World War II, known for producing numerous military aircraft for the Imperial Japanese Navy and Army.
  • B. Kawanishi
    Kawanishi was a Japanese aircraft manufacturer best known for producing military seaplanes and bombers for the Imperial Japanese Navy during World War II.
  • C. Kawanishi
    Kawanishi is a city in Hyōgo Prefecture, Japan, known as a residential and commuter town within the Osaka metropolitan area.
  • D. Tachikawa
    Tachikawa is a major city in western Tokyo, Japan, known as a key commercial and transportation hub of the Tama region.
  • E. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • 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: Kawajima
Triple: [Kumagaya, neighboringMunicipality, Kawajima]
Generated description
Kawajima is a small town in Saitama Prefecture, Japan, known for its rural landscape and location near the Arakawa River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kawajima
Target entity description: Kawajima is a small town in Saitama Prefecture, Japan, known for its rural landscape and location near the Arakawa River.
  • A. Nakajima
    Nakajima was a major Japanese aircraft manufacturer, especially active during World War II, known for producing numerous military aircraft for the Imperial Japanese Navy and Army.
  • B. Kawanishi
    Kawanishi was a Japanese aircraft manufacturer best known for producing military seaplanes and bombers for the Imperial Japanese Navy during World War II.
  • C. Kawanishi
    Kawanishi is a city in Hyōgo Prefecture, Japan, known as a residential and commuter town within the Osaka metropolitan area.
  • D. Tachikawa
    Tachikawa is a major city in western Tokyo, Japan, known as a key commercial and transportation hub of the Tama region.
  • E. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32871bce08190addd637413473c87 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c66d41481909340f247f6e5393f completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003f2971bc819099f9b6800885bb5f completed May 10, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_6a003ff96b3081909bcef37c77c0c5b1 completed May 10, 2026, 8:21 a.m.
Created at: April 10, 2026, 5:09 a.m.