Triple

T5265804
Position Surface form Disambiguated ID Type / Status
Subject Zofia Zamenhof E118934 entity
Predicate hasOccupationLocation P1527 FINISHED
Object Warsaw E8399 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: Warsaw | Statement: [Zofia Zamenhof, hasOccupationLocation, Warsaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warsaw
Context triple: [Zofia Zamenhof, hasOccupationLocation, Warsaw]
  • A. Warsaw chosen
    Warsaw is the capital and largest city of Poland, known for its resilient history, especially its near-total destruction in World War II and subsequent postwar reconstruction.
  • B. Lublin
    Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
  • C. Kraków
    Kraków is one of Poland’s oldest and most historically significant cities, renowned for its well-preserved medieval core, royal heritage, and cultural institutions.
  • D. Wilno
    Wilno is the historical Polish name for Vilnius, a major cultural and political center of the region that served as an important city in the interwar Second Polish Republic.
  • E. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • 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: hasOccupationLocation
Context triple: [Zofia Zamenhof, hasOccupationLocation, Warsaw]
  • A. hasWorksLocatedIn
    Indicates that the works or creations associated with an entity are situated or stored in a specified location.
  • B. isMajorEmployerLocationIn
    Indicates that a location is a primary or significant site where an employer conducts its employment activities or has a major workforce presence.
  • C. residencyLocation
    Indicates the place where an entity lives or maintains its primary residence.
  • D. locationOfWork chosen
    Indicates the place or site where an entity performs its work or carries out its professional activities.
  • E. hasResidenceIn
    Indicates that an entity lives or maintains a primary dwelling in a specified location.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7d5a23908190a24e79d1b29d6fcf completed March 20, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603b57d708190afd5e4c60344f86d completed March 27, 2026, 4:12 a.m.
PD Predicate disambiguation batch_69bd77c71268819094f9f5203eed392d completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:51 p.m.