Triple

T7151896
Position Surface form Disambiguated ID Type / Status
Subject Burien E166709 entity
Predicate hasSisterCity P919 FINISHED
Object Dobrada
Dobrada is a small municipality in the state of São Paulo, Brazil, known for its agricultural economy and rural character.
 E646056 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: Dobrada | Statement: [Burien, hasSisterCity, Dobrada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dobrada
Context triple: [Burien, hasSisterCity, Dobrada]
  • A. Dobrota
    Dobrota is a coastal town in Montenegro known for its historic stone houses and scenic waterfront along the Bay of Kotor.
  • B. Dobříš
    Dobříš is a Czech town southwest of Prague known for its historic chateau, formal gardens, and location on the edge of the Brdy Highlands.
  • C. Bednja
    Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
  • D. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • E. Povljana
    Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
  • 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: Dobrada
Triple: [Burien, hasSisterCity, Dobrada]
Generated description
Dobrada is a small municipality in the state of São Paulo, Brazil, known for its agricultural economy and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dobrada
Target entity description: Dobrada is a small municipality in the state of São Paulo, Brazil, known for its agricultural economy and rural character.
  • A. Dobrota
    Dobrota is a coastal town in Montenegro known for its historic stone houses and scenic waterfront along the Bay of Kotor.
  • B. Dobříš
    Dobříš is a Czech town southwest of Prague known for its historic chateau, formal gardens, and location on the edge of the Brdy Highlands.
  • C. Bednja
    Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
  • D. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • E. Povljana
    Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f3e4a88190a3110f2368262528 completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adad45208190a8e09173a4d26591 completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7aeb1c59c8190b02fcb731003ad31 completed March 28, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_69c7af2ad8a081909185cfd3a3d4e4d0 completed March 28, 2026, 10:36 a.m.
Created at: March 27, 2026, 2:46 p.m.