Triple

T13352603
Position Surface form Disambiguated ID Type / Status
Subject Angora rabbit E318104 entity
Predicate recognizedVariety P310 FINISHED
Object Chinese Angora E318104 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: Chinese Angora | Statement: [Angora rabbit, recognizedVariety, Chinese Angora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinese Angora
Context triple: [Angora rabbit, recognizedVariety, Chinese Angora]
  • A. Angora cats
    Angora cats are a long-haired, elegant domestic cat breed originating from Turkey, prized for their silky coats, plumed tails, and graceful, affectionate nature.
  • B. Angora rabbit chosen
    The Angora rabbit is a domestic rabbit breed renowned for its extremely long, soft wool, which is harvested for use in luxury textiles.
  • C. Angora
    Angora is the former Western name for Ankara, the capital city of modern Turkey.
  • D. Angora
    Angora is a residential neighborhood in Southwest Philadelphia known for its rowhouses, local parks, and proximity to Cobbs Creek.
  • E. Angora goat
    The Angora goat is a domestic goat breed renowned for producing mohair, a luxurious, silky fiber used in high-quality textiles.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8d520881908aa23c7102b72b72 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f49e5548190b14d09daea628e6b completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:32 p.m.