Triple

T11672799
Position Surface form Disambiguated ID Type / Status
Subject Daoxin E277420 entity
Predicate teacher P335 FINISHED
Object Sengcan E277419 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: Sengcan | Statement: [Daoxin, teacher, Sengcan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sengcan
Context triple: [Daoxin, teacher, Sengcan]
  • A. Sengcan chosen
    Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
  • B. Pangcah
    Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
  • C. Cakung
    Cakung is a large administrative district in East Jakarta, Indonesia, known for its mix of residential neighborhoods, industrial zones, and major transportation routes.
  • D. Mangseng
    Mangseng is an Oceanic language spoken in parts of western Melanesia, belonging to the Western Oceanic branch of the Austronesian language family.
  • E. Tillangchong
    Tillangchong is a remote, sparsely inhabited island in India’s Nicobar archipelago, noted for its dense tropical forests and rich marine and bird life.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a443b6848190a1eb6825fbc49d08 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08fbb28548190af494ddf1a1ff986 completed April 28, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:40 p.m.