Triple

T2887115
Position Surface form Disambiguated ID Type / Status
Subject Surulere E59532 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Shitta
Shitta is a well-known residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
 E306865 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: Shitta | Statement: [Surulere, hasNeighbourhood, Shitta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shitta
Context triple: [Surulere, hasNeighbourhood, Shitta]
  • A. Shagbat
    Shagbat is an informal nickname for the Supermarine Walrus, a British World War II-era amphibious reconnaissance and air-sea rescue aircraft.
  • B. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • C. Shosha
    Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
  • D. Shabo
    Shabo is a nearly extinct and poorly documented language isolate spoken by a small community in southwestern Ethiopia.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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: Shitta
Triple: [Surulere, hasNeighbourhood, Shitta]
Generated description
Shitta is a well-known residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shitta
Target entity description: Shitta is a well-known residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
  • A. Shagbat
    Shagbat is an informal nickname for the Supermarine Walrus, a British World War II-era amphibious reconnaissance and air-sea rescue aircraft.
  • B. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • C. Shosha
    Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
  • D. Shabo
    Shabo is a nearly extinct and poorly documented language isolate spoken by a small community in southwestern Ethiopia.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe047aa7c8190a0ed570c13f3a1a2 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b031713e14819098db4cfaaea74f73 completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b0332021048190a846847e17ccf6f2 completed March 10, 2026, 3:05 p.m.
NED2 Entity disambiguation (via description) batch_69b0340e559081909e06d5383eca3019 completed March 10, 2026, 3:09 p.m.
Created at: March 6, 2026, 10:03 p.m.