Triple

T11268317
Position Surface form Disambiguated ID Type / Status
Subject Peshawar Zalmi E266745 entity
Predicate shortName P43 FINISHED
Object PZ
PZ is the commonly used abbreviation for Peshawar Zalmi, a professional cricket franchise that competes in the Pakistan Super League.
E915133 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: PZ | Statement: [Peshawar Zalmi, shortName, PZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PZ
Context triple: [Peshawar Zalmi, shortName, PZ]
  • A. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • B. PZ
    PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
  • C. PZ
    PZ is the Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
  • D. ZP
    ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • E. PZH
    PZH is the IATA airport code for Zhob Airport in Balochistan, Pakistan.
  • 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: PZ
Triple: [Peshawar Zalmi, shortName, PZ]
Generated description
PZ is the commonly used abbreviation for Peshawar Zalmi, a professional cricket franchise that competes in the Pakistan Super League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PZ
Target entity description: PZ is the commonly used abbreviation for Peshawar Zalmi, a professional cricket franchise that competes in the Pakistan Super League.
  • A. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • B. PZ
    PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
  • C. PZ
    PZ is the Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
  • D. ZP
    ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • E. PZH
    PZH is the IATA airport code for Zhob Airport in Balochistan, Pakistan.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94f60d48190bc925c3cb88641a8 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccd52c20819093e03bba2fd359b7 completed April 19, 2026, 12:38 p.m.
NEDg Description generation batch_69e4d9ed6a048190ae7476d44cee6a6e completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4ddb1b4c8819087699bc73610c7f8 completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:31 p.m.