Triple

T12878719
Position Surface form Disambiguated ID Type / Status
Subject Wanica District E308032 entity
Predicate hasSettlement P1068 FINISHED
Object Koewarasan
Koewarasan is a residential settlement in Suriname located within the Wanica District, known primarily as a suburban area near the capital, Paramaribo.
E1007788 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: Koewarasan | Statement: [Wanica District, hasSettlement, Koewarasan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koewarasan
Context triple: [Wanica District, hasSettlement, Koewarasan]
  • A. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • B. Kertosono
    Kertosono is a town in East Java, Indonesia, known as a regional transport hub linking major cities and routes across the province.
  • C. Kawul
    Kawul is an alternative transliteration of the name "Kaul," a surname and community name commonly associated with Kashmiri Pandits from the Kashmir region of the Indian subcontinent.
  • D. Kutoarjo
    Kutoarjo is a town in Central Java, Indonesia, known as a regional transport hub and local commercial center.
  • E. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • 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: Koewarasan
Triple: [Wanica District, hasSettlement, Koewarasan]
Generated description
Koewarasan is a residential settlement in Suriname located within the Wanica District, known primarily as a suburban area near the capital, Paramaribo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Koewarasan
Target entity description: Koewarasan is a residential settlement in Suriname located within the Wanica District, known primarily as a suburban area near the capital, Paramaribo.
  • A. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • B. Kertosono
    Kertosono is a town in East Java, Indonesia, known as a regional transport hub linking major cities and routes across the province.
  • C. Kawul
    Kawul is an alternative transliteration of the name "Kaul," a surname and community name commonly associated with Kashmiri Pandits from the Kashmir region of the Indian subcontinent.
  • D. Kutoarjo
    Kutoarjo is a town in Central Java, Indonesia, known as a regional transport hub and local commercial center.
  • E. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bba33c081909c0050ff7b868a8e completed May 3, 2026, 12:50 a.m.
NEDg Description generation batch_69f69df1032881909255e506ddfd9c9f completed May 3, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69f69ea645a0819095edc112b9ed9bff completed May 3, 2026, 1:02 a.m.
Created at: April 9, 2026, 5:38 p.m.