Triple

T2239088
Position Surface form Disambiguated ID Type / Status
Subject Tok Pisin E49351 entity
Predicate closelyRelatedTo P37 FINISHED
Object Pijin E57265 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: Pijin | Statement: [Tok Pisin, closelyRelatedTo, Pijin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pijin
Context triple: [Tok Pisin, closelyRelatedTo, Pijin]
  • A. Pijin chosen
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • B. Pileni
    Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
  • C. Pikiell
    Pikiell is the surname of Steve Pikiell, an American college basketball coach best known for leading the Rutgers Scarlet Knights men's basketball program.
  • D. Kinana
    Kinana is an ancient Arab tribal confederation regarded as one of the major ancestral tribes of the Quraysh and other prominent groups in the Arabian Peninsula.
  • E. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0bb3fac81908b1e8518951dd160 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b0a9ee881909dee8b0a657b9c73 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.