Triple

T9343179
Position Surface form Disambiguated ID Type / Status
Subject Sangen-jaya Station E224813 entity
Predicate locatedInDistrict P40 FINISHED
Object Sangenjaya E300644 NE FINISHED

How this triple was built (2 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: [Sangen-jaya Station, locatedInDistrict, Sangenjaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangenjaya
Context triple: [Sangen-jaya Station, locatedInDistrict, Sangenjaya]
  • A. Sangenjaya chosen
    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.
  • B. Sairang
    Sairang is a small town in the Indian state of Mizoram, known for its scenic riverside setting and role as a transport and trading hub near the state capital Aizawl.
  • C. Sengcan
    Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
  • D. Pagaruyung
    Pagaruyung is a historic royal city in West Sumatra that served as the seat of the Minangkabau kingdom and remains an important symbol of Minangkabau culture and heritage.
  • E. Sarbajaya
    Sarbajaya is a central character in Satyajit Ray’s Apu Trilogy, portrayed as Apu’s resilient and emotionally complex mother.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bb244e88190b269e0bc997f066a completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e410bc348190b0cae142bf850bce completed April 4, 2026, 10:12 a.m.
Created at: March 30, 2026, 7:40 p.m.