Triple

T17160531
Position Surface form Disambiguated ID Type / Status
Subject ZF Friedrichshafen E416463 entity
Predicate shortName P43 FINISHED
Object ZF
ZF is a German automotive supplier and technology company known for producing driveline and chassis components as well as active and passive safety systems.
 E1254822 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: ZF | Statement: [ZF Friedrichshafen, shortName, ZF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZF
Context triple: [ZF Friedrichshafen, shortName, ZF]
  • A. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • B. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • C. ZW
    ZW is the ISO 3166-1 alpha-2 country code for Zimbabwe, a landlocked country in southern Africa.
  • D. ZFA
    ZFA is a variant of set theory that allows sets with atoms (urelements), often used in constructing permutation models like those of Fraenkel–Mostowski.
  • E. Z
    Z is the neutral elementary particle known as the Z boson, a carrier of the weak nuclear force in the Standard Model of particle physics.
  • 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: ZF
Triple: [ZF Friedrichshafen, shortName, ZF]
Generated description
ZF is a German automotive supplier and technology company known for producing driveline and chassis components as well as active and passive safety systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZF
Target entity description: ZF is a German automotive supplier and technology company known for producing driveline and chassis components as well as active and passive safety systems.
  • A. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • B. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • C. ZW
    ZW is the ISO 3166-1 alpha-2 country code for Zimbabwe, a landlocked country in southern Africa.
  • D. ZFA
    ZFA is a variant of set theory that allows sets with atoms (urelements), often used in constructing permutation models like those of Fraenkel–Mostowski.
  • E. Z
    Z is the neutral elementary particle known as the Z boson, a carrier of the weak nuclear force in the Standard Model of particle physics.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f911114481909c865b2e2d3b3a2b completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148376bc081908372366203a27fa8 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014b5691a881908fdad49f7dadc76c completed May 11, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_6a014bbc921081909c39cd6d11400b56 completed May 11, 2026, 3:23 a.m.
Created at: April 10, 2026, 5:37 a.m.