Triple

T5530832
Position Surface form Disambiguated ID Type / Status
Subject Bensafrim e Barão de São João E145042 entity
Predicate formedByMergerOf P77 FINISHED
Object Bensafrim
Bensafrim is a village and former civil parish in the municipality of Lagos, in Portugal’s Algarve region.
E528994 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: Bensafrim | Statement: [Bensafrim e Barão de São João, formedByMergerOf, Bensafrim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bensafrim
Context triple: [Bensafrim e Barão de São João, formedByMergerOf, Bensafrim]
  • A. Safra
    Safra is the given name of Safra Catz, the Israeli-American business executive and longtime leader at Oracle Corporation.
  • B. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • C. Bérrio
    Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
  • D. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • E. Morar
    Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
  • 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: Bensafrim
Triple: [Bensafrim e Barão de São João, formedByMergerOf, Bensafrim]
Generated description
Bensafrim is a village and former civil parish in the municipality of Lagos, in Portugal’s Algarve region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bensafrim
Target entity description: Bensafrim is a village and former civil parish in the municipality of Lagos, in Portugal’s Algarve region.
  • A. Safra
    Safra is the given name of Safra Catz, the Israeli-American business executive and longtime leader at Oracle Corporation.
  • B. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • C. Bérrio
    Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
  • D. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • E. Morar
    Morar is a small coastal village in the Lochaber area of the Scottish Highlands, known for its scenic beaches and proximity to the Road to the Isles.
  • 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.