Triple

T21881646
Position Surface form Disambiguated ID Type / Status
Subject Alvega e Concavada E540295 entity
Predicate hasFormerEntity P146018 FINISHED
Object Alvega NE NERFINISHED

How this triple was built (3 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: Alvega | Statement: [Alvega e Concavada, hasFormerEntity, Alvega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvega
Context triple: [Alvega e Concavada, hasFormerEntity, Alvega]
  • A. Alvega chosen
    Alvega is a Portuguese village and civil parish located in the municipality of Abrantes, known for its rural character and historical roots along the Tagus River.
  • B. Avelar
    Avelar is a civil parish and locality within the municipality of Ansião in central Portugal.
  • C. Juncal
    Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
  • D. Gachalá
    Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
  • E. Alpuri
    Alpuri is a small town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative and commercial hub of Shangla District.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormerEntity
Context triple: [Alvega e Concavada, hasFormerEntity, Alvega]
  • A. isFormerEntity
    Indicates that an entity previously held a particular status, role, or identity but no longer does so.
  • B. hasFormerEvent
    Indicates that an entity was preceded by a specific earlier event in its history or sequence.
  • C. hasFormerParent
    Indicates that an entity was previously the parent of another entity but no longer holds that parental role or status.
  • D. hasFormerType
    Indicates that an entity previously had a certain type or classification that has since changed.
  • E. hasFormerAnchor
    Indicates that an entity previously served as an anchor (e.g., host or main presenter) for another entity, but no longer holds that role.
  • F. None of above. chosen

Provenance (4 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e7a3c48190be1cc285ad4b6496 completed April 28, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69e6be9394f88190945ddd1dc004d29d completed April 21, 2026, 12:02 a.m.
PDg Predicate description generation batch_69e6d054737081908aa7112975b77475 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 7:04 p.m.