Triple

T11783905
Position Surface form Disambiguated ID Type / Status
Subject Płońsk County E280219 entity
Predicate hasRuralGmina P46876 FINISHED
Object Naruszewo E1171001 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: Naruszewo | Statement: [Płońsk County, hasRuralGmina, Naruszewo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naruszewo
Context triple: [Płońsk County, hasRuralGmina, Naruszewo]
  • A. Naruszewo chosen
    Naruszewo is a village in east-central Poland that serves as the seat of the rural administrative district known as Gmina Naruszewo.
  • B. Grodkowo
    Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
  • C. Wojnowo
    Wojnowo is a village in western Poland that was formerly known by its German name Reckenwalde.
  • D. Zułowo
    Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
  • E. Ursynów
    Ursynów is a large residential district in southern Warsaw known for its extensive housing estates, green areas, and convenient access to the city center via the Warsaw Metro.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a585795c8190aa8a5edf0d99b47f completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7559f0448190a992f0770ac8227a completed May 9, 2026, 5:56 p.m.
Created at: April 8, 2026, 9:42 p.m.