Triple

T2685683
Position Surface form Disambiguated ID Type / Status
Subject Podlasie E57478 entity
Predicate contains P35 FINISHED
Object Suwałki
Suwałki is a city in northeastern Poland known for its cold climate, proximity to the Lithuanian border, and location within the historical region of Podlasie.
 E443345 NE FINISHED

How this triple was built (4 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: Suwałki | Statement: [Podlasie, contains, Suwałki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suwałki
Context triple: [Podlasie, contains, Suwałki]
  • A. Siedlce
    Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
  • B. Świnoujście
    Świnoujście is a Polish port city and seaside resort on the Baltic Sea, known for its wide beaches, spa facilities, and strategic location at the mouth of the Świna River.
  • C. Kalisz
    Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
  • D. 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.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Suwałki
Triple: [Podlasie, contains, Suwałki]
Generated description
Suwałki is a city in northeastern Poland known for its cold climate, proximity to the Lithuanian border, and location within the historical region of Podlasie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suwałki
Target entity description: Suwałki is a city in northeastern Poland known for its cold climate, proximity to the Lithuanian border, and location within the historical region of Podlasie.
  • A. Siedlce
    Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
  • B. Świnoujście
    Świnoujście is a Polish port city and seaside resort on the Baltic Sea, known for its wide beaches, spa facilities, and strategic location at the mouth of the Świna River.
  • C. Kalisz
    Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
  • D. 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.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9ef2fe0819082bbe746ca682a7e completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69b636e19cb081909b2e7866a8bb3338 completed March 15, 2026, 4:34 a.m.
NEDg Description generation batch_69b637e3ddd081908fb357feebdcb80a completed March 15, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_69b638a398f88190bd0f041e9494aeba completed March 15, 2026, 4:42 a.m.
Created at: March 6, 2026, 9:54 p.m.