Triple

T21754991
Position Surface form Disambiguated ID Type / Status
Subject Montedio Yamagata E537014 entity
Predicate homeCity P263 FINISHED
Object Tendo
Tendo is a city in Yamagata Prefecture, Japan, known for its production of shogi (Japanese chess) pieces and hot spring resorts.
 E1500966 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: Tendo | Statement: [Montedio Yamagata, homeCity, Tendo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tendo
Context triple: [Montedio Yamagata, homeCity, Tendo]
  • A. Toma
    Toma is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
  • B. 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.
  • C. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • D. Toma
    Toma is a masculine given name used in various European cultures, often as a form of Thomas.
  • E. Toma
    Toma is a 1970s American crime drama television series starring Tony Musante as a maverick undercover detective.
  • 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: Tendo
Triple: [Montedio Yamagata, homeCity, Tendo]
Generated description
Tendo is a city in Yamagata Prefecture, Japan, known for its production of shogi (Japanese chess) pieces and hot spring resorts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tendo
Target entity description: Tendo is a city in Yamagata Prefecture, Japan, known for its production of shogi (Japanese chess) pieces and hot spring resorts.
  • A. 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.
  • B. Toma
    Toma is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
  • C. Toma
    Toma is a masculine given name used in various European cultures, often as a form of Thomas.
  • D. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • E. Toma
    Toma is a 1970s American crime drama television series starring Tony Musante as a maverick undercover detective.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8d6d0081908e0ccfbccea58895 completed April 28, 2026, 2:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a36706c608190a23129737eefdca9 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a381a4dc48190ae16844baeb3e67e completed May 17, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0a389829448190842a9f3863ffc046 completed May 17, 2026, 9:52 p.m.
Created at: April 16, 2026, 6:50 p.m.