Triple

T761554
Position Surface form Disambiguated ID Type / Status
Subject Eswatini E16080 entity
Predicate judicialCapital P3067 FINISHED
Object Lobamba
Lobamba is a town in Eswatini that serves as one of the country’s key political centers, hosting important national institutions and royal residences.
 E95282 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: Lobamba | Statement: [Eswatini, judicialCapital, Lobamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lobamba
Context triple: [Eswatini, judicialCapital, Lobamba]
  • A. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • B. Mbabane
    Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
  • C. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • D. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • E. Siyani
    Siyani is a given name most notably associated with Siyani Chambers, an American basketball player known for his collegiate career at Harvard University.
  • 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: Lobamba
Triple: [Eswatini, judicialCapital, Lobamba]
Generated description
Lobamba is a town in Eswatini that serves as one of the country’s key political centers, hosting important national institutions and royal residences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lobamba
Target entity description: Lobamba is a town in Eswatini that serves as one of the country’s key political centers, hosting important national institutions and royal residences.
  • A. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • B. Mbabane chosen
    Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
  • C. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • D. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • E. Siyani
    Siyani is a given name most notably associated with Siyani Chambers, an American basketball player known for his collegiate career at Harvard University.
  • F. None of above.

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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a682e7d081909c9cd7839a49fb0b completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79282d4d481908a2cb0f95a93220e completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a7946b93088190adca99b9db74ca68 completed March 4, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69a794ea4fd0819099032d14f90dbca5 completed March 4, 2026, 2:11 a.m.
Created at: March 1, 2026, 7:37 p.m.