Triple

T16375881
Position Surface form Disambiguated ID Type / Status
Subject Ksar el-Kebir E397677 entity
Predicate battleInvolvedCountry P27510 FINISHED
Object Portugal E866 NE FINISHED

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: Portugal | Statement: [Ksar el-Kebir, battleInvolvedCountry, Portugal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portugal
Context triple: [Ksar el-Kebir, battleInvolvedCountry, Portugal]
  • A. Portugal chosen
    Portugal is a Southern European country on the Iberian Peninsula, known for its maritime history, Atlantic coastline, and role as one of the world’s earliest global colonial powers.
  • B. Portogruaro
    Portogruaro is a historic town in northeastern Italy’s Veneto region, known for its medieval architecture and canals.
  • C. Portugal and Spain
    Portugal and Spain are neighboring Iberian countries in southwestern Europe known for their rich maritime histories, distinct Romance languages, and influential cultural and imperial legacies.
  • D. mainland Portugal
    Mainland Portugal is the continental part of the Portuguese Republic in southwestern Europe, comprising the country’s primary territory on the Iberian Peninsula.
  • E. Portela
    Portela is a residential parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
  • 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: battleInvolvedCountry
Context triple: [Ksar el-Kebir, battleInvolvedCountry, Portugal]
  • A. foughtInCountry
    Indicates that an entity participated in a fight, battle, or war that took place within the specified country.
  • B. involvedCountry
    Indicates that a country participates in, is associated with, or is otherwise implicated in the referenced event, activity, or situation.
  • C. battleInvolvedIn
    Indicates that an entity participated as a combatant or directly took part in a specific battle or military engagement.
  • D. countryDuringBattle chosen
    Indicates that a specified country was involved in or existed as a relevant participant or context during a particular battle.
  • E. warParticipatedIn
    Indicates that an entity took part as a combatant or active participant in a specific war or armed conflict.
  • F. None of above.

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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d79df8819087285b9457b7bdb6 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c50763881908b115953961efef9 completed May 10, 2026, 8:05 a.m.
PD Predicate disambiguation batch_69e226f94dd48190b7b8e0e983738a67 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:08 a.m.