Triple

T34789590
Position Surface form Disambiguated ID Type / Status
Subject Schwitzer E1002908 entity
Predicate hasDerivedCompanyName P90896 FINISHED
Object Schwitzer Corporation
Schwitzer Corporation was an American manufacturer best known for producing turbochargers and related engine components for automotive and heavy-duty applications.
 E2111983 NE FINISHED

How this triple was built (3 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: Schwitzer Corporation | Statement: [Schwitzer, hasDerivedCompanyName, Schwitzer Corporation]
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: Schwitzer Corporation
Triple: [Schwitzer, hasDerivedCompanyName, Schwitzer Corporation]
Generated description
Schwitzer Corporation was an American manufacturer best known for producing turbochargers and related engine components for automotive and heavy-duty applications.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasDerivedCompanyName
Context triple: [Schwitzer, hasDerivedCompanyName, Schwitzer Corporation]
  • A. hasCompanyName chosen
    Indicates that an entity is associated with or identified by a specific company name.
  • B. underlyingCompanyFormerName
    Indicates that the object is a former or previous legal name by which the underlying company (the subject) was known.
  • C. hasParentCompany
    Indicates that one company is owned or controlled by another company that serves as its parent organization.
  • D. hasSubsequentNameChange
    Indicates that an entity undergoes a later change to its name, resulting in a new official designation after the original.
  • E. underwentNameChangeTo
    Indicates that an entity previously known by one name has changed its name to the specified new name.
  • F. None of above.

Provenance (6 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_69f76db47d408190a24fc7164439ea2d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ff289541e0819096eeceb8e6332650 completed May 9, 2026, 12:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3766498d2c8190af9973eafe74fc70 completed June 21, 2026, 4:19 a.m.
NEDg Description generation batch_6a3767212ab881909750657ec7508136 completed June 21, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_6a3767bc36b481909987b20fecfed996 completed June 21, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69ff281ab1988190920f0443be9f10cc completed May 9, 2026, 12:27 p.m.
Created at: May 3, 2026, 3:59 p.m.