Triple

T11168205
Position Surface form Disambiguated ID Type / Status
Subject Myene E264207 entity
Predicate neighboringLanguage P16383 FINISHED
Object Fang E56340 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: Fang | Statement: [Myene, neighboringLanguage, Fang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fang
Context triple: [Myene, neighboringLanguage, Fang]
  • A. Fang chosen
    Fang is a Bantu language widely spoken by the Fang people of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
  • B. Fang
    Fang is a mysterious, dark-winged member of the avian-human hybrid "flock" and Max's closest ally and love interest in James Patterson's Maximum Ride series.
  • C. Fang
    Fang is Rubeus Hagrid’s large, cowardly boarhound (often called a dog) from the Harry Potter series.
  • D. Fangta
    Fangta is a historic multi-story brick pagoda located in Shanghai’s Songjiang District, renowned as a prominent cultural and architectural landmark.
  • E. Fong
    Fong is a romanized surname and given name, commonly used in Cantonese-speaking communities as a variant transliteration of the Chinese name Feng.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e88843cc81909e503f0921c6d297 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463945e40819087c6bdbc322a6d54 completed April 19, 2026, 5:09 a.m.
Created at: April 8, 2026, 9:29 p.m.