Triple

T1170016
Position Surface form Disambiguated ID Type / Status
Subject Recife E24891 entity
Predicate hasPart P35 FINISHED
Object Bongi
Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
E141700 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: Bongi | Statement: [Recife, hasPart, Bongi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bongi
Context triple: [Recife, hasPart, Bongi]
  • A. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • B. Lilangeni
    The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
  • C. Maphelane
    Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
  • D. Mtiuleti
    Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
  • E. Tshiphani
    Tshiphani is a regional dialect of the Tshivenda language spoken by Venda communities in parts of southern Africa.
  • 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: Bongi
Triple: [Recife, hasPart, Bongi]
Generated description
Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bongi
Target entity description: Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • A. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • B. Lilangeni
    The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
  • C. Maphelane
    Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
  • D. Mtiuleti
    Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
  • E. Tshiphani
    Tshiphani is a regional dialect of the Tshivenda language spoken by Venda communities in parts of southern Africa.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce972cc8190bce0b77cfda6da41 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f6d4e788190b993dc2bdd69ed26 completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac8fe33f2c8190bd2ea9dfa9744a3a completed March 7, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_69ac90412d3881909278a9a6c6536ce3 completed March 7, 2026, 8:53 p.m.
Created at: March 1, 2026, 7:45 p.m.