Triple

T18366031
Position Surface form Disambiguated ID Type / Status
Subject Fang communities of Equatorial Guinea E440047 entity
Predicate subgroup P10 FINISHED
Object Esamengong
Esamengong is a specific subgroup within the Fang ethnic communities of Equatorial Guinea, characterized by its own distinct cultural and social traditions.
 E1320874 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: Esamengong | Statement: [Fang communities of Equatorial Guinea, subgroup, Esamengong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Esamengong
Context triple: [Fang communities of Equatorial Guinea, subgroup, Esamengong]
  • A. Gulgong
    Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
  • B. Ghanongga
    Ghanongga is an Oceanic language spoken in the Solomon Islands, particularly in the Western Province.
  • C. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • D. Bhalubang
    Bhalubang is a town in southwestern Nepal that serves as the administrative center of Lumbini Province.
  • E. Empangeni
    Empangeni is a town in KwaZulu-Natal, South Africa, situated near Richards Bay and known as a regional commercial and service center.
  • 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: Esamengong
Triple: [Fang communities of Equatorial Guinea, subgroup, Esamengong]
Generated description
Esamengong is a specific subgroup within the Fang ethnic communities of Equatorial Guinea, characterized by its own distinct cultural and social traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Esamengong
Target entity description: Esamengong is a specific subgroup within the Fang ethnic communities of Equatorial Guinea, characterized by its own distinct cultural and social traditions.
  • A. Gulgong
    Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
  • B. Ghanongga
    Ghanongga is an Oceanic language spoken in the Solomon Islands, particularly in the Western Province.
  • C. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • D. Bhalubang
    Bhalubang is a town in southwestern Nepal that serves as the administrative center of Lumbini Province.
  • E. Empangeni
    Empangeni is a town in KwaZulu-Natal, South Africa, situated near Richards Bay and known as a regional commercial and service center.
  • F. None of above. chosen

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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174e834481909453ba25561d1b1d completed April 19, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d7748558819093969d121d385126 completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d8512d4c8190b113f7ed1f8a044c completed May 13, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_6a03d8d863cc819098b46d5d26db05cd completed May 13, 2026, 1:50 a.m.
Created at: April 10, 2026, 10:38 a.m.