Triple

T11141650
Position Surface form Disambiguated ID Type / Status
Subject PKiN E263567 entity
Predicate owner P347 FINISHED
Object City of Warsaw 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: City of Warsaw | Statement: [PKiN, owner, City of Warsaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Warsaw
Context triple: [PKiN, owner, City of 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. Warsaw
    Warsaw was the original name of the English post-punk band that later became known as Joy Division.
  • 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. Warsaw metropolitan area
    The Warsaw metropolitan area is the large urban agglomeration centered on Poland’s capital city, encompassing Warsaw and its surrounding suburban and commuter zones.
  • E. city of Posen
    The city of Posen, now known as Poznań in western Poland, is a historic regional center on the Warta River noted for its medieval heritage and role as one of Poland’s oldest and most important cities.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8623158819096ad1678fa9e72bb completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6037fdf80819091fb2c8bf128582d completed April 20, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:28 p.m.