Triple

T21632225
Position Surface form Disambiguated ID Type / Status
Subject Severstal Cherepovets E533859 entity
Predicate hasAbbreviation P43 FINISHED
Object SEV
SEV is the commonly used abbreviation for Severstal Cherepovets, a professional ice hockey team based in Cherepovets, Russia.
 E671966 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: SEV | Statement: [Severstal Cherepovets, hasAbbreviation, SEV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEV
Context triple: [Severstal Cherepovets, hasAbbreviation, SEV]
  • A. SEV
    SEV is the National Rail station code for Sevenoaks railway station in Kent, England.
  • B. SEEL
    SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
  • C. SÉG
    SÉG is the station code for Ségur, a Paris Métro station on Line 10 in the 15th arrondissement of Paris, France.
  • D. SEBE
    SEBE is the commonly used acronym for the Faculty of Science, Engineering and Built Environment at Deakin University.
  • E. SEUR
    SEUR is a Spanish express parcel and logistics company operating under the international DPDgroup network.
  • 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: SEV
Triple: [Severstal Cherepovets, hasAbbreviation, SEV]
Generated description
SEV is the commonly used abbreviation for Severstal Cherepovets, a professional ice hockey team based in Cherepovets, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEV
Target entity description: SEV is the commonly used abbreviation for Severstal Cherepovets, a professional ice hockey team based in Cherepovets, Russia.
  • A. SEV chosen
    SEV is the National Rail station code for Sevenoaks railway station in Kent, England.
  • B. SEEL
    SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
  • C. SÉG
    SÉG is the station code for Ségur, a Paris Métro station on Line 10 in the 15th arrondissement of Paris, France.
  • D. SEBE
    SEBE is the commonly used acronym for the Faculty of Science, Engineering and Built Environment at Deakin University.
  • E. SEUR
    SEUR is a Spanish express parcel and logistics company operating under the international DPDgroup network.
  • F. None of above.

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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5217952c8190910c2103fb4a27d9 completed April 27, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f99a1b4819093788a4052d16b27 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a113126808190ba002d405cc9a3d6 completed May 17, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_6a0a119cb17c8190a8732930b78b60cc completed May 17, 2026, 7:06 p.m.
Created at: April 16, 2026, 6:34 p.m.