Triple

T1740024
Position Surface form Disambiguated ID Type / Status
Subject Tadjourah Region E38211 entity
Predicate hasSettlement P1068 FINISHED
Object Randa
Randa is a small town in Djibouti’s Tadjourah Region, known as a settlement along the route between the capital and the northern parts of the country.
 E192966 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: Randa | Statement: [Tadjourah Region, hasSettlement, Randa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Randa
Context triple: [Tadjourah Region, hasSettlement, Randa]
  • A. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • B. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • E. Dina
    Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
  • 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: Randa
Triple: [Tadjourah Region, hasSettlement, Randa]
Generated description
Randa is a small town in Djibouti’s Tadjourah Region, known as a settlement along the route between the capital and the northern parts of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Randa
Target entity description: Randa is a small town in Djibouti’s Tadjourah Region, known as a settlement along the route between the capital and the northern parts of the country.
  • A. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • B. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • E. Dina
    Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c4639c81908b91b2559f0c6a5c completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b060d64819096ba0522ccce9145 completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad957f64c48190862a701a94098bbf completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b974708190adfffebee41a6fcd completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.