Triple

T1815265
Position Surface form Disambiguated ID Type / Status
Subject Aljezur E40421 entity
Predicate hasParish P35 FINISHED
Object Bordeira
Bordeira is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rugged Atlantic coastline and scenic beaches.
E208785 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: Bordeira | Statement: [Aljezur, hasParish, Bordeira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bordeira
Context triple: [Aljezur, hasParish, Bordeira]
  • A. Bayona
    Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
  • B. Haubourdin
    Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
  • C. Ayguemarse
    Ayguemarse is a smaller watercourse in southeastern France that serves as one of the contributing streams feeding the Ouvèze River.
  • D. Vidigueira
    Vidigueira is a municipality in Portugal’s Alentejo region, known for its wine production and historical ties to the explorer Vasco da Gama.
  • E. Loulé
    Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
  • 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: Bordeira
Triple: [Aljezur, hasParish, Bordeira]
Generated description
Bordeira is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rugged Atlantic coastline and scenic beaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bordeira
Target entity description: Bordeira is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rugged Atlantic coastline and scenic beaches.
  • A. Bayona
    Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
  • B. Haubourdin
    Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
  • C. Ayguemarse
    Ayguemarse is a smaller watercourse in southeastern France that serves as one of the contributing streams feeding the Ouvèze River.
  • D. Vidigueira
    Vidigueira is a municipality in Portugal’s Alentejo region, known for its wine production and historical ties to the explorer Vasco da Gama.
  • E. Loulé
    Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f4628481909ca8e4c2302752ac completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1bd5f68819080a4fe06e3e1f76d completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add229de448190826bbb668c7611a0 completed March 8, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69add29e3c50819098ff87d254c25c45 completed March 8, 2026, 7:48 p.m.
Created at: March 4, 2026, 7:32 p.m.