Triple

T799399
Position Surface form Disambiguated ID Type / Status
Subject Kryvyi Rih E17094 entity
Predicate hasTwinTown P919 FINISHED
Object Bytom
Bytom is an industrial city in southern Poland’s Silesian region, known for its mining heritage and historical urban architecture.
 E104306 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: Bytom | Statement: [Kryvyi Rih, hasTwinTown, Bytom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bytom
Context triple: [Kryvyi Rih, hasTwinTown, Bytom]
  • A. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • B. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Ballana
    Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
  • E. Bitra
    Bitra is a tiny, sparsely populated coral island in India’s Lakshadweep archipelago, known as one of the country’s least inhabited inhabited islands.
  • 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: Bytom
Triple: [Kryvyi Rih, hasTwinTown, Bytom]
Generated description
Bytom is an industrial city in southern Poland’s Silesian region, known for its mining heritage and historical urban architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bytom
Target entity description: Bytom is an industrial city in southern Poland’s Silesian region, known for its mining heritage and historical urban architecture.
  • A. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • B. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Ballana
    Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
  • E. Bitra
    Bitra is a tiny, sparsely populated coral island in India’s Lakshadweep archipelago, known as one of the country’s least inhabited inhabited islands.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7cb26dc8190bdd3a278b8695873 completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b83f0fb4819097f29c9ab90cf1a8 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7bc1acf708190aa86cd5eca101966 completed March 4, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69a7bc96dd2881909310147292b99023 completed March 4, 2026, 5:01 a.m.
Created at: March 1, 2026, 7:38 p.m.