Triple

T15490050
Position Surface form Disambiguated ID Type / Status
Subject Pool Department E378657 entity
Predicate capital P234 FINISHED
Object Kinkala
Kinkala is a town in the Republic of the Congo that serves as an administrative and economic center for the surrounding region.
E1160826 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: Kinkala | Statement: [Pool Department, capital, Kinkala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinkala
Context triple: [Pool Department, capital, Kinkala]
  • A. Chakala
    Chakala is a prominent commercial and residential locality in Mumbai’s Andheri suburb, known for its industrial estates, offices, and proximity to key transport links.
  • B. Kala
    Kala is a character from the Old Javanese epic poem Kakawin Sutasoma, often associated with destructive or fearsome aspects within the narrative’s moral and spiritual themes.
  • C. Kala
    Kala is the critically acclaimed 2007 studio album by British-Sri Lankan artist M.I.A., known for its eclectic global influences and politically charged themes.
  • D. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • E. Koonch
    Koonch is a town in the Indian state of Uttar Pradesh, historically notable as the site of a significant battle during the Indian Rebellion of 1857.
  • 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: Kinkala
Triple: [Pool Department, capital, Kinkala]
Generated description
Kinkala is a town in the Republic of the Congo that serves as an administrative and economic center for the surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kinkala
Target entity description: Kinkala is a town in the Republic of the Congo that serves as an administrative and economic center for the surrounding region.
  • A. Chakala
    Chakala is a prominent commercial and residential locality in Mumbai’s Andheri suburb, known for its industrial estates, offices, and proximity to key transport links.
  • B. Kala
    Kala is a character from the Old Javanese epic poem Kakawin Sutasoma, often associated with destructive or fearsome aspects within the narrative’s moral and spiritual themes.
  • C. Kala
    Kala is the critically acclaimed 2007 studio album by British-Sri Lankan artist M.I.A., known for its eclectic global influences and politically charged themes.
  • D. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • E. Koonch
    Koonch is a town in the Indian state of Uttar Pradesh, historically notable as the site of a significant battle during the Indian Rebellion of 1857.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fac2af88190ac1d119e6b21dbe0 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365f27c48190822254b6da504d3d completed May 9, 2026, 1:27 p.m.
NEDg Description generation batch_69ff375856448190a61979dfff751f06 completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff382f1bbc8190810d0d825430f9ea completed May 9, 2026, 1:35 p.m.
Created at: April 10, 2026, 3:48 a.m.