Triple

T9543874
Position Surface form Disambiguated ID Type / Status
Subject Pająk E230230 entity
Predicate hasVariant P455 FINISHED
Object Pajak
Pajak is a surname of Polish origin, often rendered without diacritics from the original form "Pająk."
 E805814 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: Pajak | Statement: [Pająk, hasVariant, Pajak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pajak
Context triple: [Pająk, hasVariant, Pajak]
  • A. Taxal
    Taxal is a small rural parish and former village in Derbyshire, England, known for its historic church and scenic location in the Goyt Valley near Whaley Bridge.
  • B. Takas
    Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
  • C. Taksim
    Taksim is a central district and major transportation and cultural hub on the European side of Istanbul, Turkey.
  • D. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • E. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • 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: Pajak
Triple: [Pająk, hasVariant, Pajak]
Generated description
Pajak is a surname of Polish origin, often rendered without diacritics from the original form "Pająk."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pajak
Target entity description: Pajak is a surname of Polish origin, often rendered without diacritics from the original form "Pająk."
  • A. Taxal
    Taxal is a small rural parish and former village in Derbyshire, England, known for its historic church and scenic location in the Goyt Valley near Whaley Bridge.
  • B. Takas
    Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
  • C. Taksim
    Taksim is a central district and major transportation and cultural hub on the European side of Istanbul, Turkey.
  • D. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • E. Pesa
    Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98ebd4148190b71b134d7545fe35 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c6cd93c8190ac197afda780ce78 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14d44b7f08190b66fecb315b37535 completed April 4, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69d14e0823e881908ed723d20f14789b completed April 4, 2026, 5:44 p.m.
Created at: March 30, 2026, 8:01 p.m.