Triple

T1375642
Position Surface form Disambiguated ID Type / Status
Subject Bogor E29215 entity
Predicate hasNickname P39 FINISHED
Object Kota Hujan
Kota Hujan is the popular nickname for Bogor, an Indonesian city renowned for its frequent rainfall and cool, wet climate.
E159023 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: Kota Hujan | Statement: [Bogor, hasNickname, Kota Hujan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kota Hujan
Context triple: [Bogor, hasNickname, Kota Hujan]
  • A. City of Hibiscus
    The City of Hibiscus is a poetic nickname for Chengdu, the capital of China’s Sichuan province, renowned for its rich history, relaxed lifestyle, and vibrant culinary and cultural scene.
  • B. The Town
    The Town is a 1957 novel by William Faulkner, part of his Snopes trilogy, that explores the rise of the Snopes family and the changing social fabric of the fictional Yoknapatawpha County.
  • C. Paama
    Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
  • D. The City
    The City is a common nickname for Manhattan, the densely populated and iconic borough of New York City known for its skyscrapers, cultural landmarks, and role as a global financial and media hub.
  • E. The City
    "The City" is an atmospheric, synthesizer-driven track by Vangelis that showcases his signature cinematic and electronic sound.
  • 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: Kota Hujan
Triple: [Bogor, hasNickname, Kota Hujan]
Generated description
Kota Hujan is the popular nickname for Bogor, an Indonesian city renowned for its frequent rainfall and cool, wet climate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kota Hujan
Target entity description: Kota Hujan is the popular nickname for Bogor, an Indonesian city renowned for its frequent rainfall and cool, wet climate.
  • A. City of Hibiscus
    The City of Hibiscus is a poetic nickname for Chengdu, the capital of China’s Sichuan province, renowned for its rich history, relaxed lifestyle, and vibrant culinary and cultural scene.
  • B. The Town
    The Town is a 1957 novel by William Faulkner, part of his Snopes trilogy, that explores the rise of the Snopes family and the changing social fabric of the fictional Yoknapatawpha County.
  • C. Paama
    Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
  • D. The City
    The City is a common nickname for Manhattan, the densely populated and iconic borough of New York City known for its skyscrapers, cultural landmarks, and role as a global financial and media hub.
  • E. The City
    "The City" is an atmospheric, synthesizer-driven track by Vangelis that showcases his signature cinematic and electronic sound.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2f9b51c8190ad52fd8c151499be completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd485e7e48190b4c2dcec53ebe195 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd971f3088190adc54e5eed0e3e0b completed March 8, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69acda1c9fac8190a825533837f612b2 completed March 8, 2026, 2:08 a.m.
Created at: March 1, 2026, 7:59 p.m.