Triple

T5530702
Position Surface form Disambiguated ID Type / Status
Subject Vila do Bispo area E145039 entity
Predicate contains P35 FINISHED
Object Budens
Budens is a small village and civil parish in Portugal’s Algarve region, known for its rural character, coastal proximity, and traditional architecture.
E528986 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: Budens | Statement: [Vila do Bispo area, contains, Budens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budens
Context triple: [Vila do Bispo area, contains, Budens]
  • A. Dubeninki
    Dubeninki is a small town in northeastern Poland located within the Warmian-Masurian Voivodeship, known for its proximity to lakes and forests.
  • B. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Bosteros
    Bosteros is a popular nickname for supporters and players of the Argentine football club Boca Juniors, reflecting the club’s working-class roots and passionate fan culture.
  • E. Budry
    Budry is a small village in northern Poland’s Warmian-Masurian Voivodeship, known for its rural character and proximity to the Masurian Lake District.
  • 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: Budens
Triple: [Vila do Bispo area, contains, Budens]
Generated description
Budens is a small village and civil parish in Portugal’s Algarve region, known for its rural character, coastal proximity, and traditional architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Budens
Target entity description: Budens is a small village and civil parish in Portugal’s Algarve region, known for its rural character, coastal proximity, and traditional architecture.
  • A. Dubeninki
    Dubeninki is a small town in northeastern Poland located within the Warmian-Masurian Voivodeship, known for its proximity to lakes and forests.
  • B. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Bosteros
    Bosteros is a popular nickname for supporters and players of the Argentine football club Boca Juniors, reflecting the club’s working-class roots and passionate fan culture.
  • E. Budry
    Budry is a small village in northern Poland’s Warmian-Masurian Voivodeship, known for its rural character and proximity to the Masurian Lake District.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9b59bc8190a8758b3be54831e9 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02805a174819096cd16f2c1ef2eb1 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c033ddc7148190ba64ebfc2472c367 completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c036725fc481908ab0e260892d8243 completed March 22, 2026, 6:35 p.m.
Created at: March 22, 2026, 3:34 p.m.