Triple

T10956885
Position Surface form Disambiguated ID Type / Status
Subject Arusha Region E258867 entity
Predicate containsTown P847 FINISHED
Object Monduli
Monduli is a town in northern Tanzania that serves as the administrative center of Monduli District in the Arusha Region.
 E896643 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: Monduli | Statement: [Arusha Region, containsTown, Monduli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monduli
Context triple: [Arusha Region, containsTown, Monduli]
  • A. Mangini
    Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
  • B. Manyoni
    Manyoni is a town and district headquarters in central Tanzania known for its location along major road and rail routes in the Singida Region.
  • C. Mokuola
    Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
  • D. Marapu
    Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
  • E. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • 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: Monduli
Triple: [Arusha Region, containsTown, Monduli]
Generated description
Monduli is a town in northern Tanzania that serves as the administrative center of Monduli District in the Arusha Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monduli
Target entity description: Monduli is a town in northern Tanzania that serves as the administrative center of Monduli District in the Arusha Region.
  • A. Mangini
    Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
  • B. Manyoni
    Manyoni is a town and district headquarters in central Tanzania known for its location along major road and rail routes in the Singida Region.
  • C. Mokuola
    Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
  • D. Marapu
    Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
  • E. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771260e9881909401a7a7466e1b8a completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7439204819092fcd061a161fd7b completed April 18, 2026, 12:58 a.m.
NEDg Description generation batch_69e2ff1ddd2c8190b31f5007f7492a4e completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3260494bc81909e3dd4829697fb72 completed April 18, 2026, 6:34 a.m.
Created at: April 8, 2026, 9:23 p.m.