Triple

T12388310
Position Surface form Disambiguated ID Type / Status
Subject Pichi E295926 entity
Predicate coexistsWith P1867 FINISHED
Object Fang
Fang is a Bantu language spoken primarily in Equatorial Guinea, Gabon, and surrounding regions by the Fang people.
 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 | Statement: [Pichi, coexistsWith, Fang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fang
Context triple: [Pichi, coexistsWith, Fang]
  • A. Fang
    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. Farong
    Farong was a Buddhist monk known as a disciple of the influential Fifth Patriarch of Chan Buddhism, Hongren.
  • E. Fangta
    Fangta is a historic multi-story brick pagoda located in Shanghai’s Songjiang District, renowned as a prominent cultural and architectural landmark.
  • 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
Triple: [Pichi, coexistsWith, Fang]
Generated description
Fang is a Bantu language spoken primarily in Equatorial Guinea, Gabon, and surrounding regions by the Fang people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fang
Target entity description: Fang is a Bantu language spoken primarily in Equatorial Guinea, Gabon, and surrounding regions by the Fang people.
  • 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 Rubeus Hagrid’s large, cowardly boarhound (often called a dog) from the Harry Potter series.
  • C. 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.
  • D. Farong
    Farong was a Buddhist monk known as a disciple of the influential Fifth Patriarch of Chan Buddhism, Hongren.
  • E. Fangta
    Fangta is a historic multi-story brick pagoda located in Shanghai’s Songjiang District, renowned as a prominent cultural and architectural landmark.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fcf6aa8819080c9a2407a72db2e completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347816408190904ea71d2a72398f completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356c21908190b34d1324da8f8052 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f63693f5c881909a9683a0c6a68739 completed May 2, 2026, 5:38 p.m.
Created at: April 8, 2026, 9:54 p.m.