Triple

T6974960
Position Surface form Disambiguated ID Type / Status
Subject Tanzania–Zambia Railway E161693 entity
Predicate passesThrough P225 FINISHED
Object Mbeya
Mbeya is a major city in southwestern Tanzania, serving as a commercial and transport hub near the Zambian border.
 E637653 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: Mbeya | Statement: [Tanzania–Zambia Railway, passesThrough, Mbeya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mbeya
Context triple: [Tanzania–Zambia Railway, passesThrough, Mbeya]
  • A. Masindi
    Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
  • B. Mbabane
    Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
  • C. Nyamwezi
    Nyamwezi is a Bantu language spoken primarily in northwestern Tanzania by the Nyamwezi people.
  • D. Marondera
    Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
  • E. Manzini
    Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
  • 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: Mbeya
Triple: [Tanzania–Zambia Railway, passesThrough, Mbeya]
Generated description
Mbeya is a major city in southwestern Tanzania, serving as a commercial and transport hub near the Zambian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mbeya
Target entity description: Mbeya is a major city in southwestern Tanzania, serving as a commercial and transport hub near the Zambian border.
  • A. Masindi
    Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
  • B. Mbabane
    Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
  • C. Nyamwezi
    Nyamwezi is a Bantu language spoken primarily in northwestern Tanzania by the Nyamwezi people.
  • D. Marondera
    Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
  • E. Manzini
    Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db3bda908190a10a91dc8d043ef1 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7754815c8819091d1291f7cdfec1d completed March 28, 2026, 6:29 a.m.
NEDg Description generation batch_69c7798513cc8190b20c1bfea81e7d3c completed March 28, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_69c77a1422d48190a0eaf90572e30caf completed March 28, 2026, 6:49 a.m.
Created at: March 27, 2026, 2:31 p.m.