Triple

T13685601
Position Surface form Disambiguated ID Type / Status
Subject Lagos–Badagry Expressway E328115 entity
Predicate terminusB P388 FINISHED
Object Seme
Seme is a border town between Nigeria and Benin that serves as a major West African road crossing and trade route.
E1056320 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: Seme | Statement: [Lagos–Badagry Expressway, terminusB, Seme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seme
Context triple: [Lagos–Badagry Expressway, terminusB, Seme]
  • A. Semo
    Semo is an ancient Roman deity associated with oaths, loyalty, and sacred trust, often identified with the god Sancus.
  • B. Semera
    Semera is a planned town in northeastern Ethiopia that serves as the administrative and economic center of the Afar Region.
  • C. Semyen
    Semyen is a masculine given name, commonly used in Slavic countries as a variant of the name Semyon.
  • D. Sesma
    Sesma is a namesake associated with the Mexican municipality of Chalchicomula de Sesma in the state of Puebla.
  • E. Shemia
    Shemia is an American politician and attorney best known for serving as Oregon’s Secretary of State.
  • 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: Seme
Triple: [Lagos–Badagry Expressway, terminusB, Seme]
Generated description
Seme is a border town between Nigeria and Benin that serves as a major West African road crossing and trade route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seme
Target entity description: Seme is a border town between Nigeria and Benin that serves as a major West African road crossing and trade route.
  • A. Semo
    Semo is an ancient Roman deity associated with oaths, loyalty, and sacred trust, often identified with the god Sancus.
  • B. Semera
    Semera is a planned town in northeastern Ethiopia that serves as the administrative and economic center of the Afar Region.
  • C. Semyen
    Semyen is a masculine given name, commonly used in Slavic countries as a variant of the name Semyon.
  • D. Sesma
    Sesma is a namesake associated with the Mexican municipality of Chalchicomula de Sesma in the state of Puebla.
  • E. Shemia
    Shemia is an American politician and attorney best known for serving as Oregon’s Secretary of State.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66f8acc8190b2a82b722930b995 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944765488190a97d2bea8c29e698 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f7955fce288190a7e426f467517a91 completed May 3, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69f7996cddf08190973e493fb788ce7a completed May 3, 2026, 6:52 p.m.
Created at: April 9, 2026, 9:53 p.m.