Triple

T23035472
Position Surface form Disambiguated ID Type / Status
Subject Mirpur Stadium E573581 entity
Predicate shortName P43 FINISHED
Object SBNS
SBNS is the commonly used abbreviation for Sher-e-Bangla National Stadium, Bangladesh’s main international cricket venue located in Mirpur, Dhaka.
E1567068 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: SBNS | Statement: [Mirpur Stadium, shortName, SBNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SBNS
Context triple: [Mirpur Stadium, shortName, SBNS]
  • A. SBSN
    SBSN is the ICAO airport code for Maestro Wilson Fonseca International Airport in Santarém, Brazil.
  • B. BNS
    BNS is the main national multipurpose sports stadium in Dhaka, Bangladesh, historically used for major football and cricket events.
  • C. BNS
    BNS is the stock ticker symbol for the Bank of Nova Scotia, one of Canada’s largest multinational banks.
  • D. BNS
    BNS is the National Rail station code for Barnes railway station in southwest London, England.
  • E. SBN
    SBN is the IATA airport code for South Bend International Airport, a commercial airport serving South Bend, Indiana, and the surrounding region.
  • 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: SBNS
Triple: [Mirpur Stadium, shortName, SBNS]
Generated description
SBNS is the commonly used abbreviation for Sher-e-Bangla National Stadium, Bangladesh’s main international cricket venue located in Mirpur, Dhaka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SBNS
Target entity description: SBNS is the commonly used abbreviation for Sher-e-Bangla National Stadium, Bangladesh’s main international cricket venue located in Mirpur, Dhaka.
  • A. SBSN
    SBSN is the ICAO airport code for Maestro Wilson Fonseca International Airport in Santarém, Brazil.
  • B. BNS
    BNS is the main national multipurpose sports stadium in Dhaka, Bangladesh, historically used for major football and cricket events.
  • C. BNS
    BNS is the stock ticker symbol for the Bank of Nova Scotia, one of Canada’s largest multinational banks.
  • D. BNS
    BNS is the National Rail station code for Barnes railway station in southwest London, England.
  • E. SBN
    SBN is the IATA airport code for South Bend International Airport, a commercial airport serving South Bend, Indiana, and the surrounding region.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850df7fc81909ee522d99d96af0d completed April 29, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2b8e994819086dbfa0936898360 completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0bfbc5b19c8190aed3f1199410b996 completed May 19, 2026, 5:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0bfccedf2c8190833df43ea2c294ca completed May 19, 2026, 6:01 a.m.
Created at: April 17, 2026, 3:53 p.m.