Triple

T876554
Position Surface form Disambiguated ID Type / Status
Subject Belém E18930 entity
Predicate locatedIn P40 FINISHED
Object Lisbon District E128968 NE FINISHED

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: Lisbon District | Statement: [Belém, locatedIn, Lisbon District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbon District
Context triple: [Belém, locatedIn, Lisbon District]
  • A. Lisbon District chosen
    Lisbon District is an administrative region in central-western Portugal that includes the nation’s capital, Lisbon, and several surrounding municipalities.
  • B. Évora District
    Évora District is an administrative region in southern Portugal known for its historic city of Évora, a UNESCO World Heritage site rich in Roman and medieval heritage.
  • C. Coimbra District
    Coimbra District is an administrative region in central Portugal that includes the historic university city of Coimbra and surrounding municipalities.
  • D. Vila Real District
    Vila Real District is an administrative region in northern Portugal known for its mountainous landscapes and its role in the Douro wine-producing area.
  • E. District of Faro
    The District of Faro is the southernmost administrative district of mainland Portugal, encompassing much of the Algarve region and its popular coastal tourist destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acaf30a48190a10ed7fee464c444 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5e990be881908b47d88074339470 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:39 p.m.