Triple

T19193017
Position Surface form Disambiguated ID Type / Status
Subject Jorge Sampaio E469890 entity
Predicate positionHeld P8 FINISHED
Object Mayor of Lisbon NE NERFINISHED

How this triple was built (2 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: Mayor of Lisbon | Statement: [Jorge Sampaio, positionHeld, Mayor of Lisbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayor of Lisbon
Context triple: [Jorge Sampaio, positionHeld, Mayor of Lisbon]
  • A. Mayor of Lisbon chosen
    The Mayor of Lisbon is the elected head of the municipal government of Portugal’s capital city, responsible for overseeing local administration, urban planning, and public services.
  • B. Mayor of Madrid
    The Mayor of Madrid is the democratically elected head of the city’s government, responsible for leading the municipal administration and representing Spain’s capital.
  • C. Mayor of Valencia
    The Mayor of Valencia is the elected chief executive who leads the city council and oversees the municipal government of Valencia, Spain.
  • D. Mayor of São Paulo
    The Mayor of São Paulo is the chief executive official responsible for governing Brazil’s largest city and financial center.
  • E. Mayor of Barcelona
    The Mayor of Barcelona is the head of the city’s municipal government, responsible for leading the city council and overseeing the administration and strategic direction of Spain’s second-largest city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a3434881908acc4063a9ee9386 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.