Triple

T5587175
Position Surface form Disambiguated ID Type / Status
Subject Lagoa E146783 entity
Predicate hasAttraction P105 FINISHED
Object Algar Seco
Algar Seco is a striking coastal rock formation and cave complex on the Algarve coast of Portugal, known for its dramatic cliffs, natural pools, and scenic ocean views.
E528780 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: Algar Seco | Statement: [Lagoa, hasAttraction, Algar Seco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algar Seco
Context triple: [Lagoa, hasAttraction, Algar Seco]
  • A. Figueira Seca
    Figueira Seca is a small village located on the island of Maio in Cape Verde.
  • B. Algar
    Algar is a surname of English origin borne by various notable individuals, including figures in the arts and entertainment.
  • C. Cacilhas
    Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
  • D. Ribeira Brava
    Ribeira Brava is the main town and administrative center of the island of São Nicolau in Cape Verde, known for its coastal setting and colonial-era architecture.
  • E. Mexilhoeira Grande
    Mexilhoeira Grande is a civil parish in Portugal’s Algarve region known for its traditional village character and nearby archaeological sites.
  • 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: Algar Seco
Triple: [Lagoa, hasAttraction, Algar Seco]
Generated description
Algar Seco is a striking coastal rock formation and cave complex on the Algarve coast of Portugal, known for its dramatic cliffs, natural pools, and scenic ocean views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Algar Seco
Target entity description: Algar Seco is a striking coastal rock formation and cave complex on the Algarve coast of Portugal, known for its dramatic cliffs, natural pools, and scenic ocean views.
  • A. Figueira Seca
    Figueira Seca is a small village located on the island of Maio in Cape Verde.
  • B. Algar
    Algar is a surname of English origin borne by various notable individuals, including figures in the arts and entertainment.
  • C. Cacilhas
    Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
  • D. Ribeira Brava
    Ribeira Brava is the main town and administrative center of the island of São Nicolau in Cape Verde, known for its coastal setting and colonial-era architecture.
  • E. Mexilhoeira Grande
    Mexilhoeira Grande is a civil parish in Portugal’s Algarve region known for its traditional village character and nearby archaeological sites.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209d713081908b39ee8befb2faf7 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0286558b48190a8907c06111a48f3 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0350eb53081909dc573fefa3e7f0a completed March 22, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c036ee4e1c8190b9e60655d72407ff completed March 22, 2026, 6:37 p.m.
Created at: March 22, 2026, 3:38 p.m.