Triple

T21216557
Position Surface form Disambiguated ID Type / Status
Subject Gelan District E522850 entity
Predicate hasCapital P204 FINISHED
Object Gelan
Gelan is a town that serves as the administrative center of Gelan District in Afghanistan.
E1471542 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: Gelan | Statement: [Gelan District, hasCapital, Gelan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gelan
Context triple: [Gelan District, hasCapital, Gelan]
  • A. Gulkula
    Gulkula is a culturally significant site in Arnhem Land, Northern Territory, Australia, known as a gathering place for Yolngu people and the venue for major Indigenous cultural events.
  • B. Gollan
    Gollan is a surname of likely Scottish or British origin associated with individuals such as the communist leader John Gollan.
  • C. Gailani
    Gailani is a prominent Afghan Sufi and political family name associated with influential religious leaders and statesmen.
  • D. Gwaneum
    Gwaneum is the Korean name for the bodhisattva of compassion, equivalent to Guanyin in Chinese and Kannon in Japanese Buddhist traditions.
  • E. Gadon
    Gadon is the surname of Canadian actress Sarah Gadon, known for her work in film and television.
  • 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: Gelan
Triple: [Gelan District, hasCapital, Gelan]
Generated description
Gelan is a town that serves as the administrative center of Gelan District in Afghanistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gelan
Target entity description: Gelan is a town that serves as the administrative center of Gelan District in Afghanistan.
  • A. Gulkula
    Gulkula is a culturally significant site in Arnhem Land, Northern Territory, Australia, known as a gathering place for Yolngu people and the venue for major Indigenous cultural events.
  • B. Gollan
    Gollan is a surname of likely Scottish or British origin associated with individuals such as the communist leader John Gollan.
  • C. Gailani
    Gailani is a prominent Afghan Sufi and political family name associated with influential religious leaders and statesmen.
  • D. Gwaneum
    Gwaneum is the Korean name for the bodhisattva of compassion, equivalent to Guanyin in Chinese and Kannon in Japanese Buddhist traditions.
  • E. Gadon
    Gadon is the surname of Canadian actress Sarah Gadon, known for her work in film and television.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734744dcc81908b3065adc93b4b98 completed April 21, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ed8bd0881909777475f8930b590 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097f61ad008190bcbf64326356b857 completed May 17, 2026, 8:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0980a602908190a2cbcbae9b8d8bf2 completed May 17, 2026, 8:47 a.m.
Created at: April 16, 2026, 3:41 p.m.