Triple

T16044247
Position Surface form Disambiguated ID Type / Status
Subject Gash-Barka Region E389174 entity
Predicate hasSettlement P1068 FINISHED
Object Mogolo
Mogolo is a town located in Eritrea's Gash-Barka region, known primarily as a local agricultural and trading center.
 E1191808 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: Mogolo | Statement: [Gash-Barka Region, hasSettlement, Mogolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mogolo
Context triple: [Gash-Barka Region, hasSettlement, Mogolo]
  • A. Mongomo
    Mongomo is a town in mainland Equatorial Guinea that serves as an important political center and the home region of much of the country’s ruling elite.
  • B. Tsogo
    Tsogo is a Bantu language of Central Africa, spoken primarily in Gabon and closely related to Njebi.
  • C. Mkushi
    Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
  • D. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • E. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • 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: Mogolo
Triple: [Gash-Barka Region, hasSettlement, Mogolo]
Generated description
Mogolo is a town located in Eritrea's Gash-Barka region, known primarily as a local agricultural and trading center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mogolo
Target entity description: Mogolo is a town located in Eritrea's Gash-Barka region, known primarily as a local agricultural and trading center.
  • A. Mongomo
    Mongomo is a town in mainland Equatorial Guinea that serves as an important political center and the home region of much of the country’s ruling elite.
  • B. Tsogo
    Tsogo is a Bantu language of Central Africa, spoken primarily in Gabon and closely related to Njebi.
  • C. Mkushi
    Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
  • D. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • E. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835d1dac819089abec9f0668ec78 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd95d508190a21db435fb69f8d7 completed May 10, 2026, 1:14 a.m.
NEDg Description generation batch_69ffde10adec81908c0b662780184131 completed May 10, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_69ffde9037848190b8d3b84fdec93ed6 completed May 10, 2026, 1:25 a.m.
Created at: April 10, 2026, 4:56 a.m.