Triple

T2825964
Position Surface form Disambiguated ID Type / Status
Subject Setagaya E54921 entity
Predicate hasNeighborhood P40 FINISHED
Object Sangenjaya
Sangenjaya is a lively Tokyo neighborhood known for its dense network of bars, cafes, and eateries, as well as its convenient access to central Shibuya.
 E300644 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: Sangenjaya | Statement: [Setagaya, hasNeighborhood, Sangenjaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sangenjaya
Context triple: [Setagaya, hasNeighborhood, Sangenjaya]
  • A. Sengcan
    Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
  • B. Sutan
    Sutan is the given name of Sutan Sjahrir, an influential Indonesian nationalist leader and the country’s first prime minister.
  • C. Manggala
    Manggala was a Mongol prince of the 13th century, notable as one of the sons of the Yuan dynasty founder Kublai Khan.
  • D. Jayrambati
    Jayrambati is a village in West Bengal, India, best known as the birthplace and early home of Sarada Devi, the spiritual consort of Sri Ramakrishna.
  • E. Sainj
    Sainj is a small town in Himachal Pradesh, India, known as a primary access point to the Great Himalayan National Park and the scenic Sainj Valley.
  • 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: Sangenjaya
Triple: [Setagaya, hasNeighborhood, Sangenjaya]
Generated description
Sangenjaya is a lively Tokyo neighborhood known for its dense network of bars, cafes, and eateries, as well as its convenient access to central Shibuya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sangenjaya
Target entity description: Sangenjaya is a lively Tokyo neighborhood known for its dense network of bars, cafes, and eateries, as well as its convenient access to central Shibuya.
  • A. Sengcan
    Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
  • B. Sutan
    Sutan is the given name of Sutan Sjahrir, an influential Indonesian nationalist leader and the country’s first prime minister.
  • C. Manggala
    Manggala was a Mongol prince of the 13th century, notable as one of the sons of the Yuan dynasty founder Kublai Khan.
  • D. Jayrambati
    Jayrambati is a village in West Bengal, India, best known as the birthplace and early home of Sarada Devi, the spiritual consort of Sri Ramakrishna.
  • E. Sainj
    Sainj is a small town in Himachal Pradesh, India, known as a primary access point to the Great Himalayan National Park and the scenic Sainj Valley.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde925e688190bb390d3182f8c4f0 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceaf9298819093eb24a8ff0b5e02 completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf20b6a08190bdf91bed219d2653 completed March 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69afcf7e02648190889576d7a180a193 completed March 10, 2026, 7:59 a.m.
Created at: March 6, 2026, 9:59 p.m.