Triple

T8541328
Position Surface form Disambiguated ID Type / Status
Subject In Unity and Work E202201 entity
Predicate cityOfInstitutionUsingMotto P263 FINISHED
Object Nairobi E6371 NE FINISHED

How this triple was built (3 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: Nairobi | Statement: [In Unity and Work, cityOfInstitutionUsingMotto, Nairobi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nairobi
Context triple: [In Unity and Work, cityOfInstitutionUsingMotto, Nairobi]
  • A. Nairobi chosen
    Nairobi is the capital and largest city of Kenya, serving as a major political, economic, and cultural hub in East Africa.
  • B. Nairobi
    Nairobi is a fan-favorite character from the Spanish series "Money Heist," known for her sharp leadership, optimism, and expertise in overseeing the gang’s money-printing operations.
  • C. Lipa City
    Lipa City is a highly urbanized city in Batangas, Philippines, known as a commercial, educational, and religious center in the Calabarzon region.
  • D. Kinondoni
    Kinondoni is a major urban district within Dar es Salaam, Tanzania, known for its dense population, commercial activity, and diverse residential neighborhoods.
  • E. Mombasa
    Mombasa is a major coastal city in Kenya known as a key regional port and historic trading hub on the Indian Ocean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityOfInstitutionUsingMotto
Context triple: [In Unity and Work, cityOfInstitutionUsingMotto, Nairobi]
  • A. countryOfInstitutionUsingMotto
    Indicates the country in which an institution that uses a given motto is located or associated.
  • B. isMottoOf
    Indicates that a phrase or expression serves as the official motto associated with a particular entity.
  • C. mottoOfOrganizationLocation
    Indicates that a particular motto is associated with an organization specifically in a given location.
  • D. cityOfInstitution chosen
    Indicates the city in which an institution is located or based.
  • E. usedAsMottoOn
    Indicates that a phrase or expression serves as a motto displayed on a particular object, medium, or entity.
  • F. None of above.

Provenance (4 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e10bc081909a7210c577b807fb completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d9d06e48190a5c0cfa9779fc07c completed April 2, 2026, 1:22 p.m.
PD Predicate disambiguation batch_69cbd111bf988190be98c92a607c6456 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:18 p.m.