Triple

T15786190
Position Surface form Disambiguated ID Type / Status
Subject Northern Kenya E382744 entity
Predicate hasMajorTown P316 FINISHED
Object Maralal
Maralal is a remote market town in northern Kenya known as a gateway to the arid north and as a traditional center for the Samburu people.
 E1180268 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: Maralal | Statement: [Northern Kenya, hasMajorTown, Maralal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maralal
Context triple: [Northern Kenya, hasMajorTown, Maralal]
  • A. Maralik
    Maralik is a small town in northwestern Armenia known for its agricultural surroundings and location within the Shirak region.
  • B. Maleka
    Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
  • C. Lalan
    Lalan was a Chinese-born French painter, composer, and dancer known for her abstract, lyrical works and her close association with the postwar Paris art scene.
  • D. Marale
    Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
  • E. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • 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: Maralal
Triple: [Northern Kenya, hasMajorTown, Maralal]
Generated description
Maralal is a remote market town in northern Kenya known as a gateway to the arid north and as a traditional center for the Samburu people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maralal
Target entity description: Maralal is a remote market town in northern Kenya known as a gateway to the arid north and as a traditional center for the Samburu people.
  • A. Maralik
    Maralik is a small town in northwestern Armenia known for its agricultural surroundings and location within the Shirak region.
  • B. Maleka
    Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
  • C. Lalan
    Lalan was a Chinese-born French painter, composer, and dancer known for her abstract, lyrical works and her close association with the postwar Paris art scene.
  • D. Marale
    Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
  • E. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0540380448190a025338f0e62e6d1 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa12d6f388190b61cdc7820ce6311 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa417ee248190808b0fecfb58d705 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5372f248190827cdc4985fee1ef completed May 9, 2026, 9:20 p.m.
Created at: April 10, 2026, 4:48 a.m.