Triple

T16815456
Position Surface form Disambiguated ID Type / Status
Subject Hon River E408732 entity
Predicate hasNameInLanguage P15 FINISHED
Object 本川 (Japanese)
本川 is the Japanese name for the Hon River, a river known primarily in Vietnam.
E1234641 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: 本川 (Japanese) | Statement: [Hon River, hasNameInLanguage, 本川 (Japanese)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 本川 (Japanese)
Context triple: [Hon River, hasNameInLanguage, 本川 (Japanese)]
  • A. O japonês
    "O japonês" is a pioneering modernist painting by Brazilian artist Anita Malfatti, emblematic of her bold break with academic traditions in early 20th-century Brazilian art.
  • B. Bungo-ōno
    Bungo-ōno is a city in southern Ōita Prefecture, Japan, known for its rural landscapes, waterfalls, and agricultural production.
  • C. Nihon Shuwa
    Nihon Shuwa is the primary sign language used by the Deaf community in Japan, with its own distinct grammar, vocabulary, and cultural history.
  • D. Ōnamuchi
    Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
  • E. Jōyō
    Jōyō is a city in Kyoto Prefecture, Japan, known for its residential communities and proximity to both Kyoto and Nara within the broader Kyoto metropolitan area.
  • 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: 本川 (Japanese)
Triple: [Hon River, hasNameInLanguage, 本川 (Japanese)]
Generated description
本川 is the Japanese name for the Hon River, a river known primarily in Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 本川 (Japanese)
Target entity description: 本川 is the Japanese name for the Hon River, a river known primarily in Vietnam.
  • A. O japonês
    "O japonês" is a pioneering modernist painting by Brazilian artist Anita Malfatti, emblematic of her bold break with academic traditions in early 20th-century Brazilian art.
  • B. Bungo-ōno
    Bungo-ōno is a city in southern Ōita Prefecture, Japan, known for its rural landscapes, waterfalls, and agricultural production.
  • C. Nihon Shuwa
    Nihon Shuwa is the primary sign language used by the Deaf community in Japan, with its own distinct grammar, vocabulary, and cultural history.
  • D. Ōnamuchi
    Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
  • E. Jōyō
    Jōyō is a city in Kyoto Prefecture, Japan, known for its residential communities and proximity to both Kyoto and Nara within the broader Kyoto metropolitan area.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e0e05081908bd5eaa64abe133d completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2946ddc81908b1e7c662dc943ff completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b3aafac08190b3e0181780f45392 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b46ab0608190bc59abb99842e6d4 completed May 10, 2026, 4:38 p.m.
Created at: April 10, 2026, 5:23 a.m.