Triple

T1299137
Position Surface form Disambiguated ID Type / Status
Subject Szczecin E27720 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
 E147584 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: ZS | Statement: [Szczecin, vehicleRegistrationCode, ZS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZS
Context triple: [Szczecin, vehicleRegistrationCode, ZS]
  • A. 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.
  • B. Z
    Z is a New York City Subway service that runs along the BMT Jamaica Line in Brooklyn and Queens, operating as a rush-hour, skip-stop counterpart to the J train.
  • C. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • D. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • E. ZW
    ZW is the ISO 3166-1 alpha-2 country code for Zimbabwe, a landlocked country in southern Africa.
  • 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: ZS
Triple: [Szczecin, vehicleRegistrationCode, ZS]
Generated description
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZS
Target entity description: ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • A. 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.
  • B. Z
    Z is a New York City Subway service that runs along the BMT Jamaica Line in Brooklyn and Queens, operating as a rush-hour, skip-stop counterpart to the J train.
  • C. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • D. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • E. ZW
    ZW is the ISO 3166-1 alpha-2 country code for Zimbabwe, a landlocked country in southern Africa.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c111a76c81909e6b914694986251 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc631b88190853948eeb5f24527 completed March 7, 2026, 10:55 p.m.
NEDg Description generation batch_69acad4b2234819097d94df7812d3b13 completed March 7, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69acadf94f0881908b0be66e37b8c04a completed March 7, 2026, 11 p.m.
Created at: March 1, 2026, 7:51 p.m.