Triple

T5932051
Position Surface form Disambiguated ID Type / Status
Subject Asia Pacific Breweries E131959 entity
Predicate brand P1500 FINISHED
Object Bintang
Bintang is a popular Indonesian beer brand known for its pale lager style and wide distribution across Southeast Asia.
 E556689 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: Bintang | Statement: [Asia Pacific Breweries, brand, Bintang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bintang
Context triple: [Asia Pacific Breweries, brand, Bintang]
  • A. Estrella
    Estrella is a master-planned residential community in Goodyear, Arizona, known for its scenic desert setting, lakes, and family-oriented amenities.
  • B. Estrela
    Estrela is a historic and picturesque neighborhood in Lisbon, Portugal, known for its basilica, gardens, and traditional tram routes.
  • C. Ghezala
    Ghezala is a town and administrative delegation located in the Bizerte Governorate of northern Tunisia.
  • D. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti 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: Bintang
Triple: [Asia Pacific Breweries, brand, Bintang]
Generated description
Bintang is a popular Indonesian beer brand known for its pale lager style and wide distribution across Southeast Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bintang
Target entity description: Bintang is a popular Indonesian beer brand known for its pale lager style and wide distribution across Southeast Asia.
  • A. Estrella
    Estrella is a master-planned residential community in Goodyear, Arizona, known for its scenic desert setting, lakes, and family-oriented amenities.
  • B. Estrela
    Estrela is a historic and picturesque neighborhood in Lisbon, Portugal, known for its basilica, gardens, and traditional tram routes.
  • C. Ghezala
    Ghezala is a town and administrative delegation located in the Bizerte Governorate of northern Tunisia.
  • D. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389df18c81909027a9db7596f0c1 completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c05eb4b8819097f203e1db94ae8f completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c1dc210c8190b841e00b38577b08 completed March 23, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69c0c25267588190bee988b869f14382 completed March 23, 2026, 4:32 a.m.
Created at: March 22, 2026, 4 p.m.