Triple

T15481398
Position Surface form Disambiguated ID Type / Status
Subject Ostróda E376925 entity
Predicate hasLandmark P105 FINISHED
Object Ostróda pier E376925 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: Ostróda pier | Statement: [Ostróda, hasLandmark, Ostróda pier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostróda pier
Context triple: [Ostróda, hasLandmark, Ostróda pier]
  • A. Ostróda chosen
    Ostróda is a town in northern Poland known for its lakeside setting, tourism, and role as a local economic and cultural center.
  • B. Ostrowiec Świętokrzyski
    Ostrowiec Świętokrzyski is a city in south-central Poland known for its steel industry and proximity to the Świętokrzyskie (Holy Cross) Mountains.
  • C. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • D. Olsztyn
    Olsztyn is a historic city in northern Poland known for its medieval architecture, lakes, and role as the capital of the Warmian-Masurian Voivodeship.
  • E. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0d6ef0819091623de2888a7101 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:34 a.m.