Triple

T16751634
Position Surface form Disambiguated ID Type / Status
Subject Beti–Pahuin languages E407094 entity
Predicate hasLanguage P15 FINISHED
Object Fang-Meke
Fang-Meke is a Bantu language variety of the Fang (Beti–Pahuin) cluster spoken primarily in Central Africa.
 E56340 NE FINISHED

How this triple was built (4 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-Meke | Statement: [Beti–Pahuin languages, hasLanguage, Fang-Meke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fang-Meke
Context triple: [Beti–Pahuin languages, hasLanguage, Fang-Meke]
  • A. 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.
  • B. Fang
    Fang is the surname of the eccentric performance-artist family at the center of Kevin Wilson’s novel and its film adaptation "The Family Fang."
  • C. Fang
    Fang is a Bantu language widely spoken by the Fang people of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
  • D. Fang
    Fang is Rubeus Hagrid’s large, cowardly boarhound (often called a dog) from the Harry Potter series.
  • E. Fang
    Fang is a Chinese surname historically borne by various notable figures, including members of imperial and scholarly families.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fang-Meke
Triple: [Beti–Pahuin languages, hasLanguage, Fang-Meke]
Generated description
Fang-Meke is a Bantu language variety of the Fang (Beti–Pahuin) cluster spoken primarily in Central Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fang-Meke
Target entity description: Fang-Meke is a Bantu language variety of the Fang (Beti–Pahuin) cluster spoken primarily in Central Africa.
  • 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 the surname of the eccentric performance-artist family at the center of Kevin Wilson’s novel and its film adaptation "The Family Fang."
  • D. Fang
    Fang is a Chinese surname historically borne by various notable figures, including members of imperial and scholarly families.
  • E. Fang
    Fang is Rubeus Hagrid’s large, cowardly boarhound (often called a dog) from the Harry Potter series.
  • F. None of above.

Provenance (5 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa271de48190b4a535408aeef734 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b281cce881908c401bca3cf21dfc completed May 10, 2026, 4:29 p.m.
NEDg Description generation batch_6a00b399786c8190acbd188ab55b1fa0 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b466ecd08190b7b5ee54476631ab completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:21 a.m.