Triple

T16542002
Position Surface form Disambiguated ID Type / Status
Subject E401839 entity
Predicate hasAcronym P43 FINISHED
Object E401839 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: PŁ | Statement: [PŁ, hasAcronym, PŁ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PŁ
Context triple: [PŁ, hasAcronym, PŁ]
  • A. chosen
    PŁ is the Polish abbreviation for Łódź University of Technology, a major technical university located in Łódź, Poland.
  • B. Płośnica
    Płośnica is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
  • C. Piła
    Piła is a city in northwestern Poland known as a regional economic and transport center in the Greater Poland Voivodeship.
  • D. .pl
    .pl is the country code top-level domain (ccTLD) assigned to websites associated with Poland.
  • E. Paczków
    Paczków is a historic town in southwestern Poland, often called the "Polish Carcassonne" for its well-preserved medieval defensive walls and architecture.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455db6788190b929546050ea2488 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b0e5708190a286b8a316d6efd2 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.