Triple

T19732742
Position Surface form Disambiguated ID Type / Status
Subject Maniema Province E473894 entity
Predicate hasCity P316 FINISHED
Object Kailo
Kailo is a town in the eastern Democratic Republic of the Congo, located within Maniema Province.
 E1393288 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: Kailo | Statement: [Maniema Province, hasCity, Kailo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kailo
Context triple: [Maniema Province, hasCity, Kailo]
  • A. Kahola
    Kahola is an ancient Vedic sage mentioned in Hindu scriptures, notably as a participant in philosophical dialogues in the Upanishads.
  • B. Kioloa
    Kioloa is a small coastal village in New South Wales, Australia, known for its beaches, bushland, and proximity to Murramarang National Park.
  • C. Kahō
    Kahō was a Japanese era name (nengō) used during the reign of Emperor Shirakawa in the late 11th century.
  • D. Kaʻala
    Kaʻala is the Hawaiian name for Mount Kaʻala, the highest peak on the island of Oʻahu.
  • E. Kameari
    Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
  • 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: Kailo
Triple: [Maniema Province, hasCity, Kailo]
Generated description
Kailo is a town in the eastern Democratic Republic of the Congo, located within Maniema Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kailo
Target entity description: Kailo is a town in the eastern Democratic Republic of the Congo, located within Maniema Province.
  • A. Kahola
    Kahola is an ancient Vedic sage mentioned in Hindu scriptures, notably as a participant in philosophical dialogues in the Upanishads.
  • B. Kioloa
    Kioloa is a small coastal village in New South Wales, Australia, known for its beaches, bushland, and proximity to Murramarang National Park.
  • C. Kahō
    Kahō was a Japanese era name (nengō) used during the reign of Emperor Shirakawa in the late 11th century.
  • D. Kaʻala
    Kaʻala is the Hawaiian name for Mount Kaʻala, the highest peak on the island of Oʻahu.
  • E. Kameari
    Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e651596b98819090bcaf05c7b74555 completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4f4e1e081908fca0b6513bb3bbb completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b73cc5a48190af0ab9da30c859b4 completed May 16, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_6a07b81193d081908dfb19272b4df41b completed May 16, 2026, 12:19 a.m.
Created at: April 10, 2026, 1:47 p.m.