Triple

T22792184
Position Surface form Disambiguated ID Type / Status
Subject Binibeca E564139 entity
Predicate hasAlternativeName P39 FINISHED
Object Binibèquer
Binibèquer is a picturesque coastal village on the Spanish island of Menorca, known for its whitewashed houses and traditional Mediterranean fishing-port charm.
 E1555126 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: Binibèquer | Statement: [Binibeca, hasAlternativeName, Binibèquer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Binibèquer
Context triple: [Binibeca, hasAlternativeName, Binibèquer]
  • A. Beniferri
    Beniferri is a neighborhood in the city of Valencia, Spain, known for its residential character and proximity to the Benimàmet area.
  • B. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • C. Bassignana
    Bassignana is a municipality in the Piedmont region of northern Italy, situated near the confluence of the Tanaro and Po rivers.
  • D. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • E. Binya
    Binya is a small rural locality in New South Wales, Australia, situated in an agricultural region of the Riverina.
  • 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: Binibèquer
Triple: [Binibeca, hasAlternativeName, Binibèquer]
Generated description
Binibèquer is a picturesque coastal village on the Spanish island of Menorca, known for its whitewashed houses and traditional Mediterranean fishing-port charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Binibèquer
Target entity description: Binibèquer is a picturesque coastal village on the Spanish island of Menorca, known for its whitewashed houses and traditional Mediterranean fishing-port charm.
  • A. Beniferri
    Beniferri is a neighborhood in the city of Valencia, Spain, known for its residential character and proximity to the Benimàmet area.
  • B. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • C. Bassignana
    Bassignana is a municipality in the Piedmont region of northern Italy, situated near the confluence of the Tanaro and Po rivers.
  • D. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • E. Binya
    Binya is a small rural locality in New South Wales, Australia, situated in an agricultural region of the Riverina.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd5778c81909a18317ff98e341c completed April 29, 2026, 3:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e9214ec8190a67d9d97c74d5064 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba09cd4d48190b00db42dc43db779 completed May 18, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba13332588190a73ab3a52825a1fe completed May 18, 2026, 11:30 p.m.
Created at: April 17, 2026, 3:30 p.m.