Triple

T10567485
Position Surface form Disambiguated ID Type / Status
Subject Arakawa River E249387 entity
Predicate passesThrough P225 FINISHED
Object Toda
Toda is a city in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town in the Greater Tokyo Area.
 E872938 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: Toda | Statement: [Arakawa River, passesThrough, Toda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toda
Context triple: [Arakawa River, passesThrough, Toda]
  • A. Toda
    Toda is a Southern Dravidian language spoken by the Toda people of the Nilgiri Hills in southern India, known for its highly complex phonology and small speaker population.
  • B. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • C. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • D. Toma
    Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
  • E. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • 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: Toda
Triple: [Arakawa River, passesThrough, Toda]
Generated description
Toda is a city in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town in the Greater Tokyo Area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toda
Target entity description: Toda is a city in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town in the Greater Tokyo Area.
  • A. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • B. Toda
    Toda is a Southern Dravidian language spoken by the Toda people of the Nilgiri Hills in southern India, known for its highly complex phonology and small speaker population.
  • C. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • D. Toma
    Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
  • E. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ef5848190b76d671ea2d26314 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b42879481909f9c98b2579c10a1 completed April 10, 2026, 7:10 p.m.
NEDg Description generation batch_69d94d67e16481908efb939a3e65004c completed April 10, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69d95227a1f48190ab847606a9ae0500 completed April 10, 2026, 7:40 p.m.
Created at: April 6, 2026, 12:36 p.m.