Triple

T3636554
Position Surface form Disambiguated ID Type / Status
Subject Stroop Report E77081 entity
Predicate locationOfEventDescribed P49732 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: [Stroop Report, locationOfEventDescribed, Warsaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warsaw
Context triple: [Stroop Report, locationOfEventDescribed, 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: locationOfEventDescribed
Context triple: [Stroop Report, locationOfEventDescribed, Warsaw]
  • A. eventLocationOfNotableActivity
    Indicates that a location is the place where a notable or significant activity or event involving the related entity occurred.
  • B. placeDescribed
    Indicates that one entity provides a description or account of a particular place or location.
  • C. locationOfPassage
    Indicates the place or area through which a passage, route, or transit occurs or is situated.
  • D. locationDescription
    Indicates a textual description that specifies or characterizes the location of an entity.
  • E. locationOfDiscourse
    Indicates the place or setting where a particular discourse, conversation, or communicative event occurs.
  • F. None of above. chosen

Provenance (5 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3278bb8819098bbeac023410111 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fadc46e8819095ebcb23e1da9947 completed March 14, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69adb842be7c8190b7dfdb7c906f294c completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb902e61c81908f10494f828e260f completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:24 p.m.