Triple

T9854895
Position Surface form Disambiguated ID Type / Status
Subject Warsaw, Indiana E239558 entity
Predicate namedAfter P63 FINISHED
Object Warsaw, Poland E8399 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: Warsaw, Poland | Statement: [Warsaw, Indiana, namedAfter, Warsaw, Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warsaw, Poland
Context triple: [Warsaw, Indiana, namedAfter, Warsaw, Poland]
  • A. Warsaw
    Warsaw was the original name of the English post-punk band that later became known as Joy Division.
  • B. 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.
  • C. Warsaw
    Warsaw is a small city in northern Indiana known as the "Orthopedic Capital of the World" for its concentration of medical device manufacturers.
  • D. 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.
  • E. New Town, Warsaw
    New Town is a historic district in central Warsaw, Poland, known for its reconstructed Old-World architecture, charming squares, and role as an extension of the adjacent Old Town.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3960fb481909c90d6d6cafc6222 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2287bbdf88190acd23f9572213e8a completed April 5, 2026, 9:16 a.m.
Created at: March 30, 2026, 8:34 p.m.