Triple

T2669707
Position Surface form Disambiguated ID Type / Status
Subject Ajah E55719 entity
Predicate near P350 FINISHED
Object Sangotedo
Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
 E288151 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: Sangotedo | Statement: [Ajah, near, Sangotedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sangotedo
Context triple: [Ajah, near, Sangotedo]
  • A. Taur Matan Ruak
    Taur Matan Ruak is an East Timorese military leader and politician who served as commander of the national defence force and later as President of Timor-Leste.
  • B. Sajama
    Sajama is the highest mountain in Bolivia, an extinct stratovolcano located in the Andes near the Chilean border.
  • C. Chogolisa
    Chogolisa is a prominent, heavily glaciated mountain peak in the Karakoram range of the Himalayas, known for its challenging climbing routes and severe weather conditions.
  • D. Parayre
    Parayre is a French surname associated with individuals such as Amélie Noellie Parayre.
  • E. Tepehuán
    The Tepehuán are an Indigenous people of northern Mexico known for their distinct language, traditional agriculture, and cultural practices rooted in the rugged highlands of the Sierra Madre Occidental.
  • 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: Sangotedo
Triple: [Ajah, near, Sangotedo]
Generated description
Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sangotedo
Target entity description: Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
  • A. Taur Matan Ruak
    Taur Matan Ruak is an East Timorese military leader and politician who served as commander of the national defence force and later as President of Timor-Leste.
  • B. Sajama
    Sajama is the highest mountain in Bolivia, an extinct stratovolcano located in the Andes near the Chilean border.
  • C. Chogolisa
    Chogolisa is a prominent, heavily glaciated mountain peak in the Karakoram range of the Himalayas, known for its challenging climbing routes and severe weather conditions.
  • D. Parayre
    Parayre is a French surname associated with individuals such as Amélie Noellie Parayre.
  • E. Tepehuán
    The Tepehuán are an Indigenous people of northern Mexico known for their distinct language, traditional agriculture, and cultural practices rooted in the rugged highlands of the Sierra Madre Occidental.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98d32ac8190b8edd9421b706532 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa05d028c8190860587da07ea7e9b completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa0fef4c481908db42628cd6e72fe completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa1fc3884819094503650206ec788 completed March 10, 2026, 4:45 a.m.
Created at: March 6, 2026, 9:54 p.m.