Triple

T14176357
Position Surface form Disambiguated ID Type / Status
Subject Lower Shabelle E351341 entity
Predicate hasTown P847 FINISHED
Object Afgoye
Afgoye is a town in southern Somalia known historically as an agricultural and trading center along the Shabelle River.
 E1084503 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: Afgoye | Statement: [Lower Shabelle, hasTown, Afgoye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Afgoye
Context triple: [Lower Shabelle, hasTown, Afgoye]
  • A. Ofogoula
    Ofogoula is an alternative name for the Ofo language, a now-extinct Siouan language once spoken by the Ofo people in the southeastern United States.
  • B. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • C. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • D. Dondo
    Dondo is a town and district in central Mozambique known as an important railway and industrial hub near the port city of Beira in Sofala Province.
  • E. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • 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: Afgoye
Triple: [Lower Shabelle, hasTown, Afgoye]
Generated description
Afgoye is a town in southern Somalia known historically as an agricultural and trading center along the Shabelle River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Afgoye
Target entity description: Afgoye is a town in southern Somalia known historically as an agricultural and trading center along the Shabelle River.
  • A. Ofogoula
    Ofogoula is an alternative name for the Ofo language, a now-extinct Siouan language once spoken by the Ofo people in the southeastern United States.
  • B. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • C. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • D. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • E. Dondo
    Dondo is a town and district in central Mozambique known as an important railway and industrial hub near the port city of Beira in Sofala Province.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c76e8081909994b95b631100e9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80cdae88190ae987b49218c281d completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd067e73708190adcb4e1c2fbf210d completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd0c5161dc8190a923c5b00dc5b53a completed May 7, 2026, 10:04 p.m.
Created at: April 10, 2026, 1:02 a.m.