Triple

T10400666
Position Surface form Disambiguated ID Type / Status
Subject Ngounié Province E245136 entity
Predicate hasSettlement P1068 FINISHED
Object Mandji
Mandji is a town located within Ngounié Province in southwestern Gabon.
E863730 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: Mandji | Statement: [Ngounié Province, hasSettlement, Mandji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandji
Context triple: [Ngounié Province, hasSettlement, Mandji]
  • A. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • B. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • C. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • D. Mandeali
    Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
  • E. Dutsin-Ma
    Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational 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: Mandji
Triple: [Ngounié Province, hasSettlement, Mandji]
Generated description
Mandji is a town located within Ngounié Province in southwestern Gabon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mandji
Target entity description: Mandji is a town located within Ngounié Province in southwestern Gabon.
  • A. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • B. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • C. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • D. Mandeali
    Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
  • E. Dutsin-Ma
    Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e2f11c8190b30695cba2975544 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e84f7a08190b83ecfec72efb7a7 completed April 10, 2026, 4:37 a.m.
NEDg Description generation batch_69d886c325c4819089dac35eb26e7961 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dbbe97c8190861e08f3ff39f91b completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:07 p.m.