Triple

T8302619
Position Surface form Disambiguated ID Type / Status
Subject WikiLambda E194382 entity
Predicate coreConcept P533 FINISHED
Object ZType
ZType is a fundamental data type abstraction used within the WikiLambda system to represent and structure functions and other typed entities in Wikimedia’s function ecosystem.
 E723783 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: ZType | Statement: [WikiLambda, coreConcept, ZType]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZType
Context triple: [WikiLambda, coreConcept, ZType]
  • A. ZTU
    ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
  • B. ZUT
    ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
  • C. ZP
    ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • D. ZTH
    ZTH is the IATA airport code for Zakynthos International Airport, the main air gateway to the Greek island of Zakynthos.
  • E. ZTH
    ZTH is the National Rail station code for Tower Hill railway station in London, United Kingdom.
  • 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: ZType
Triple: [WikiLambda, coreConcept, ZType]
Generated description
ZType is a fundamental data type abstraction used within the WikiLambda system to represent and structure functions and other typed entities in Wikimedia’s function ecosystem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZType
Target entity description: ZType is a fundamental data type abstraction used within the WikiLambda system to represent and structure functions and other typed entities in Wikimedia’s function ecosystem.
  • A. ZTU
    ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
  • B. ZUT
    ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
  • C. ZP
    ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • D. ZTH
    ZTH is the IATA airport code for Zakynthos International Airport, the main air gateway to the Greek island of Zakynthos.
  • E. ZTH
    ZTH is the National Rail station code for Tower Hill railway station in London, United Kingdom.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8a45348190a7895b33abcb64c9 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68c2a14c81908388ecdd22315390 completed April 1, 2026, 6:49 p.m.
NEDg Description generation batch_69cd6d58032c8190ba99f78670924ae5 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e5be1108190afbc65b69a7700f2 completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:53 p.m.