Triple

T15745697
Position Surface form Disambiguated ID Type / Status
Subject Namanga E381715 entity
Predicate closestMajorCityInKenya P1982 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: [Namanga, closestMajorCityInKenya, Nairobi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nairobi
Context triple: [Namanga, closestMajorCityInKenya, 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. Kabete
    Kabete is a prominent town in Kenya’s Central Region, situated within Kiambu County and known for its agricultural activity and proximity to Nairobi.
  • E. Kinondoni
    Kinondoni is a major urban district within Dar es Salaam, Tanzania, known for its dense population, commercial activity, and diverse residential neighborhoods.
  • 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: closestMajorCityInKenya
Context triple: [Namanga, closestMajorCityInKenya, Nairobi]
  • A. nearestMajorCity chosen
    Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
  • B. regionCapitalNearby
    Indicates that a capital city of a region is located close to the referenced place or entity.
  • C. countryCapitalNearby
    Indicates that a country’s capital city is geographically close to a specified location or entity.
  • D. countyCapitalNearby
    Indicates that a county’s capital city is located close to a specified place or entity.
  • E. majorCityNearMouth
    Indicates that a major city is located close to the mouth (outflow point) of a river.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d6b5788190883746ee82c799f5 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876b7fd081909d84ebe7a4cdb675 completed May 9, 2026, 7:13 p.m.
PD Predicate disambiguation batch_69e0052c6208819098165d61d378d13b completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:46 a.m.