Triple

T17295986
Position Surface form Disambiguated ID Type / Status
Subject Targówek E419910 entity
Predicate hasNeighbour P5707 FINISHED
Object Ząbki E652757 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: Ząbki | Statement: [Targówek, hasNeighbour, Ząbki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ząbki
Context triple: [Targówek, hasNeighbour, Ząbki]
  • A. Ząbki chosen
    Ząbki is a suburban town in east-central Poland that functions as part of the Warsaw metropolitan area.
  • B. Liszki
    Liszki is a village in southern Poland that serves as the seat of the rural administrative district (gmina) of Liszki near the city of Kraków.
  • C. Porąbka
    Porąbka is a village in southern Poland, known as the birthplace of communist-era leader Edward Gierek.
  • D. Porąbka
    Porąbka is a village located in southern Poland within the administrative district of Gmina Trzyciąż.
  • E. Żabieniec
    Żabieniec is a district of the Polish city of Łódź, known in part for the Łódź Żabieniec railway station that serves it.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437875b208190bcf0df2ded546257 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c407fe8819095b16b171f29cf1b completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:40 a.m.