Triple

T114064
Position Surface form Disambiguated ID Type / Status
Subject Lesser Poland Voivodeship E2305 entity
Predicate containsTown P847 FINISHED
Object Gorlice
Gorlice is a historic town in southern Poland known for its role in the World War I Battle of Gorlice–Tarnów and its early oil industry.
E25217 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: Gorlice | Statement: [Lesser Poland Voivodeship, containsTown, Gorlice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorlice
Context triple: [Lesser Poland Voivodeship, containsTown, Gorlice]
  • A. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • B. Tarnów
    Tarnów is a historic city in southern Poland known for its well-preserved Old Town, Renaissance architecture, and cultural heritage.
  • C. Chrzanów
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
  • D. Bochnia
    Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
  • 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: Gorlice
Triple: [Lesser Poland Voivodeship, containsTown, Gorlice]
Generated description
Gorlice is a historic town in southern Poland known for its role in the World War I Battle of Gorlice–Tarnów and its early oil industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gorlice
Target entity description: Gorlice is a historic town in southern Poland known for its role in the World War I Battle of Gorlice–Tarnów and its early oil industry.
  • A. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • B. Tarnów
    Tarnów is a historic city in southern Poland known for its well-preserved Old Town, Renaissance architecture, and cultural heritage.
  • C. Chrzanów
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative center.
  • D. Bochnia
    Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a25b800d08819099a44429d5c82c68 completed Feb. 28, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69a31c8fe0ec81908e96c597c5f949b7 completed Feb. 28, 2026, 4:49 p.m.
NEDg Description generation batch_69a31d1be0d88190856eab1d0882adb8 completed Feb. 28, 2026, 4:51 p.m.
NED2 Entity disambiguation (via description) batch_69a31d7606d08190868f6f14399e8c73 completed Feb. 28, 2026, 4:53 p.m.
Created at: Feb. 28, 2026, 2:20 a.m.