Triple

T7309673
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Super League E168058 entity
Predicate sponsor P67 FINISHED
Object HBL
HBL (Habib Bank Limited) is one of Pakistan’s largest and oldest commercial banks, widely recognized for its extensive branch network and major corporate sponsorships, including in sports.
 E655225 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: HBL | Statement: [Pakistan Super League, sponsor, HBL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HBL
Context triple: [Pakistan Super League, sponsor, HBL]
  • A. HBN
    HBN is the National Rail station code assigned to Holborn station in London.
  • B. HLLB
    HLLB is the ICAO airport code for Benina International Airport, the main airport serving Benghazi in eastern Libya.
  • C. WBLA
    WBLA is the commonly used abbreviation for the West Bengal Legislative Assembly, the unicameral state legislature of West Bengal, India.
  • D. EHBK
    EHBK is the ICAO airport code for Maastricht Aachen Airport, a regional international airport serving the Maastricht area in the Netherlands and nearby Aachen in Germany.
  • E. BH
    BH is a major Brazilian city and the capital of the state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and culinary scenes.
  • 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: HBL
Triple: [Pakistan Super League, sponsor, HBL]
Generated description
HBL (Habib Bank Limited) is one of Pakistan’s largest and oldest commercial banks, widely recognized for its extensive branch network and major corporate sponsorships, including in sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HBL
Target entity description: HBL (Habib Bank Limited) is one of Pakistan’s largest and oldest commercial banks, widely recognized for its extensive branch network and major corporate sponsorships, including in sports.
  • A. HBN
    HBN is the National Rail station code assigned to Holborn station in London.
  • B. HLLB
    HLLB is the ICAO airport code for Benina International Airport, the main airport serving Benghazi in eastern Libya.
  • C. WBLA
    WBLA is the commonly used abbreviation for the West Bengal Legislative Assembly, the unicameral state legislature of West Bengal, India.
  • D. EHBK
    EHBK is the ICAO airport code for Maastricht Aachen Airport, a regional international airport serving the Maastricht area in the Netherlands and nearby Aachen in Germany.
  • E. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebdbd6f481908e69e53dab452656 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e567df3c8190a1baaa7ef9c99d87 completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e67a988881909b3d53ab8da43a8e completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e71dc39c8190951424cb543d58df completed March 28, 2026, 2:35 p.m.
Created at: March 27, 2026, 3:01 p.m.