Triple

T17927501
Position Surface form Disambiguated ID Type / Status
Subject Tarnopol Voivodeship E448234 entity
Predicate containsCity P294 FINISHED
Object Monasterzyska
Monasterzyska is a town in western Ukraine, historically part of the former Tarnopol Voivodeship in interwar Poland.
E1540903 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: Monasterzyska | Statement: [Tarnopol Voivodeship, containsCity, Monasterzyska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monasterzyska
Context triple: [Tarnopol Voivodeship, containsCity, Monasterzyska]
  • A. Przeciszów
    Przeciszów is a village in southern Poland, located in the Lesser Poland Voivodeship, known for its rural character and proximity to the Vistula River.
  • B. Skrzyczne
    Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
  • C. Trzebnica
    Trzebnica is a historic town in southwestern Poland known for its medieval Cistercian abbey and religious significance.
  • D. Srokowo
    Srokowo is a small town in northern Poland, located in the Warmian-Masurian Voivodeship near the border with Russia’s Kaliningrad Oblast.
  • E. Koprzywnica
    Koprzywnica is a small town in southeastern Poland known for its historic Cistercian monastery and location within the Świętokrzyskie 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: Monasterzyska
Triple: [Tarnopol Voivodeship, containsCity, Monasterzyska]
Generated description
Monasterzyska is a town in western Ukraine, historically part of the former Tarnopol Voivodeship in interwar Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Monasterzyska
Target entity description: Monasterzyska is a town in western Ukraine, historically part of the former Tarnopol Voivodeship in interwar Poland.
  • A. Przeciszów
    Przeciszów is a village in southern Poland, located in the Lesser Poland Voivodeship, known for its rural character and proximity to the Vistula River.
  • B. Skrzyczne
    Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
  • C. Trzebnica
    Trzebnica is a historic town in southwestern Poland known for its medieval Cistercian abbey and religious significance.
  • D. Srokowo
    Srokowo is a small town in northern Poland, located in the Warmian-Masurian Voivodeship near the border with Russia’s Kaliningrad Oblast.
  • E. Koprzywnica
    Koprzywnica is a small town in southeastern Poland known for its historic Cistercian monastery and location within the Świętokrzyskie 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54f29a88190b035d8473765bde5 completed April 19, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17c7198c8190b96754a4a0b317c1 completed May 18, 2026, 1:44 p.m.
NEDg Description generation batch_6a0b1ac642408190bb265ec0a797daf2 completed May 18, 2026, 1:57 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1b28377c8190a6c28b470ee5f1f8 completed May 18, 2026, 1:59 p.m.
Created at: April 10, 2026, 10:20 a.m.