Triple

T10787159
Position Surface form Disambiguated ID Type / Status
Subject Southern Province, Zambia E254479 entity
Predicate containsTown P847 FINISHED
Object Monze
Monze is a town in southern Zambia known as an important agricultural and trading center, particularly for maize and cattle.
 E885889 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: Monze | Statement: [Southern Province, Zambia, containsTown, Monze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monze
Context triple: [Southern Province, Zambia, containsTown, Monze]
  • A. Rinas
    Rinas is a village near Tirana in Albania best known as the location of the country’s main international airport.
  • B. Opata
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • C. Ifo
    Ifo is a town in Ogun State, southwestern Nigeria, known as a historically significant Awori settlement and an important local commercial center.
  • D. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • E. Sennan
    Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
  • 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: Monze
Triple: [Southern Province, Zambia, containsTown, Monze]
Generated description
Monze is a town in southern Zambia known as an important agricultural and trading center, particularly for maize and cattle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monze
Target entity description: Monze is a town in southern Zambia known as an important agricultural and trading center, particularly for maize and cattle.
  • A. Rinas
    Rinas is a village near Tirana in Albania best known as the location of the country’s main international airport.
  • B. Opata
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • C. Ifo
    Ifo is a town in Ogun State, southwestern Nigeria, known as a historically significant Awori settlement and an important local commercial center.
  • D. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • E. Sennan
    Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d5422481908d7ab833c6cbc879 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de56199d088190938a72105540cf66 completed April 14, 2026, 2:58 p.m.
NEDg Description generation batch_69de5eadb9448190bdf69711394e2ab7 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de607917808190922df6521d7bfb07 completed April 14, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:17 p.m.