Triple

T15407372
Position Surface form Disambiguated ID Type / Status
Subject Karu E368494 entity
Predicate hasSettlement P1068 FINISHED
Object Mararaba
Mararaba is a rapidly growing suburban town near Abuja in central Nigeria, known for its dense population and heavy commuter traffic.
E1155180 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: Mararaba | Statement: [Karu, hasSettlement, Mararaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mararaba
Context triple: [Karu, hasSettlement, Mararaba]
  • A. Mararit
    Mararit is an ethnic group native to parts of Sudan and Chad, known for speaking the Mararit language within the Nilo-Saharan family.
  • B. Surobi
    Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
  • C. Morungaba
    Morungaba is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and integration into the economically significant Campinas metropolitan area.
  • D. Mankoya
    Mankoya is a dialect of the Silozi language spoken by communities in parts of southwestern Zambia.
  • E. Shabako
    Shabako is an alternative name for Shabaka, a Kushite pharaoh of Egypt’s Twenty-fifth Dynasty known for consolidating Nubian rule over Egypt.
  • 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: Mararaba
Triple: [Karu, hasSettlement, Mararaba]
Generated description
Mararaba is a rapidly growing suburban town near Abuja in central Nigeria, known for its dense population and heavy commuter traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mararaba
Target entity description: Mararaba is a rapidly growing suburban town near Abuja in central Nigeria, known for its dense population and heavy commuter traffic.
  • A. Mararit
    Mararit is an ethnic group native to parts of Sudan and Chad, known for speaking the Mararit language within the Nilo-Saharan family.
  • B. Surobi
    Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
  • C. Morungaba
    Morungaba is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and integration into the economically significant Campinas metropolitan area.
  • D. Mankoya
    Mankoya is a dialect of the Silozi language spoken by communities in parts of southwestern Zambia.
  • E. Shabako
    Shabako is an alternative name for Shabaka, a Kushite pharaoh of Egypt’s Twenty-fifth Dynasty known for consolidating Nubian rule over Egypt.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea36c6881909eaea48e9608897a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135a26f08190ad3fc1d5a263a24e completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff144af00481909191a2d33874c195 completed May 9, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69ff15ae7c9c81909fd0894e48e5b5b1 completed May 9, 2026, 11:08 a.m.
Created at: April 10, 2026, 3:20 a.m.