Triple

T14824754
Position Surface form Disambiguated ID Type / Status
Subject XXXX Brewery E348541 entity
Predicate hasBrand P1500 FINISHED
Object XXXX
XXXX is a popular Australian beer brand best known for its easy-drinking lagers and strong association with Queensland’s drinking culture.
 E1122973 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: XXXX | Statement: [XXXX Brewery, hasBrand, XXXX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XXXX
Context triple: [XXXX Brewery, hasBrand, XXXX]
  • A. XXX
    XXX is the Roman numeral representing the number 30.
  • B. XX
    XX is the Super Bowl game for which the 1985 AFC Championship Game determined the American Football Conference representative.
  • C. XXXO
    XXXO is a 2010 electropop single by British-Sri Lankan artist M.I.A., known for its catchy, autotune-heavy sound and commentary on digital-age relationships.
  • D. YXX
    YXX is the IATA airport code for Abbotsford International Airport in Abbotsford, British Columbia, Canada.
  • E. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • 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: XXXX
Triple: [XXXX Brewery, hasBrand, XXXX]
Generated description
XXXX is a popular Australian beer brand best known for its easy-drinking lagers and strong association with Queensland’s drinking culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XXXX
Target entity description: XXXX is a popular Australian beer brand best known for its easy-drinking lagers and strong association with Queensland’s drinking culture.
  • A. XXX
    XXX is the Roman numeral representing the number 30.
  • B. XX
    XX is the Super Bowl game for which the 1985 AFC Championship Game determined the American Football Conference representative.
  • C. XXXO
    XXXO is a 2010 electropop single by British-Sri Lankan artist M.I.A., known for its catchy, autotune-heavy sound and commentary on digital-age relationships.
  • D. YXX
    YXX is the IATA airport code for Abbotsford International Airport in Abbotsford, British Columbia, Canada.
  • E. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe7a8dc8190bcb5ecfa1cbf1601 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389d7c848190813be06bed7813d7 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe5bc7e6848190a243bcfccaea3a37 completed May 8, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_69fe5c271c6c8190bb4127cdf8af6647 completed May 8, 2026, 9:56 p.m.
Created at: April 10, 2026, 1:51 a.m.