Triple

T7479408
Position Surface form Disambiguated ID Type / Status
Subject district of Görlitz E176711 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object ZI
ZI is the vehicle registration code used on license plates for vehicles registered in the district of Görlitz in Germany.
E667010 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: ZI | Statement: [district of Görlitz, vehicleRegistrationCode, ZI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZI
Context triple: [district of Görlitz, vehicleRegistrationCode, ZI]
  • A. IZ
    IZ is the nickname of Israel Kamakawiwoʻole, a beloved Hawaiian musician best known for his ukulele-backed medley of "Somewhere Over the Rainbow/What a Wonderful World."
  • B. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • C. ZL
    ZL is the IATA airline designator used by Rex Airlines, a regional carrier based in Australia.
  • D. ZIA
    ZIA is the IATA airport code for Zhukovsky International Airport, a commercial airport serving the Moscow region in Russia.
  • 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: ZI
Triple: [district of Görlitz, vehicleRegistrationCode, ZI]
Generated description
ZI is the vehicle registration code used on license plates for vehicles registered in the district of Görlitz in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZI
Target entity description: ZI is the vehicle registration code used on license plates for vehicles registered in the district of Görlitz in Germany.
  • A. IZ
    IZ is the nickname of Israel Kamakawiwoʻole, a beloved Hawaiian musician best known for his ukulele-backed medley of "Somewhere Over the Rainbow/What a Wonderful World."
  • B. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • C. ZL
    ZL is the IATA airline designator used by Rex Airlines, a regional carrier based in Australia.
  • D. ZIA
    ZIA is the IATA airport code for Zhukovsky International Airport, a commercial airport serving the Moscow region in Russia.
  • 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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f4f13f548190a8cc59165735b30e completed March 27, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8348e8d108190b77e59e9df336d81 completed March 28, 2026, 8:05 p.m.
NEDg Description generation batch_69c836441e3081909671c8c118429eb5 completed March 28, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_69c836c34a488190a84e0136bc02f1cd completed March 28, 2026, 8:14 p.m.
Created at: March 27, 2026, 3:42 p.m.