Triple

T855113
Position Surface form Disambiguated ID Type / Status
Subject Głogów E18473 entity
Predicate hasRailConnectionTo P848 FINISHED
Object Leszno
Leszno is a town in western Poland known as a local economic and cultural center in the Greater Poland Voivodeship.
 E149724 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: Leszno | Statement: [Głogów, hasRailConnectionTo, Leszno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leszno
Context triple: [Głogów, hasRailConnectionTo, Leszno]
  • A. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • B. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • C. Chrzanów
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
  • D. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • E. Nowy Sącz
    Nowy Sącz is a historic city in southern Poland known for its well-preserved Old Town, cultural heritage, and role as a local economic and administrative center.
  • 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: Leszno
Triple: [Głogów, hasRailConnectionTo, Leszno]
Generated description
Leszno is a town in western Poland known as a local economic and cultural center in the Greater Poland Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leszno
Target entity description: Leszno is a town in western Poland known as a local economic and cultural center in the Greater Poland Voivodeship.
  • A. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • B. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • C. Chrzanów
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
  • D. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • E. Nowy Sącz
    Nowy Sącz is a historic city in southern Poland known for its well-preserved Old Town, cultural heritage, and role as a local economic and administrative center.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3a48c08190b4677d825fcbfaf9 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbad10ae48190af7dcaa8dfff30ec completed March 7, 2026, 11:54 p.m.
NEDg Description generation batch_69acbb3ebf4c8190bebb55ac052cd6e3 completed March 7, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69acbbc2729c819091e7d683b73baaf7 completed March 7, 2026, 11:58 p.m.
Created at: March 1, 2026, 7:39 p.m.