Triple

T3893062
Position Surface form Disambiguated ID Type / Status
Subject Zagłębie Lubin E88104 entity
Predicate abbreviation P43 FINISHED
Object ZAG
ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
 E396518 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: ZAG | Statement: [Zagłębie Lubin, abbreviation, ZAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZAG
Context triple: [Zagłębie Lubin, abbreviation, ZAG]
  • A. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • B. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • C. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • D. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • E. ZNG
    ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
  • 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: ZAG
Triple: [Zagłębie Lubin, abbreviation, ZAG]
Generated description
ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZAG
Target entity description: ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • A. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • B. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • C. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • D. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • E. ZNG
    ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecce860c8190b16eca2e14f6544f completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c96ff648190b03807547930d51d completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d14269881909b75083e3928163a completed March 14, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_69b51d73ecd48190881c15ff6e0daea0 completed March 14, 2026, 8:33 a.m.
Created at: March 9, 2026, 3:21 p.m.