Triple

T3468907
Position Surface form Disambiguated ID Type / Status
Subject Australian National Botanic Gardens E73203 entity
Predicate alsoKnownAs P39 FINISHED
Object ANBG
ANBG is the acronym for the Australian National Botanic Gardens, a major botanical institution in Canberra dedicated to the study, conservation, and display of Australia's native plant species.
 E361064 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: ANBG | Statement: [Australian National Botanic Gardens, alsoKnownAs, ANBG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ANBG
Context triple: [Australian National Botanic Gardens, alsoKnownAs, ANBG]
  • A. BnG
    BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
  • B. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • C. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • D. ANA
    ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
  • E. ANA
    ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
  • 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: ANBG
Triple: [Australian National Botanic Gardens, alsoKnownAs, ANBG]
Generated description
ANBG is the acronym for the Australian National Botanic Gardens, a major botanical institution in Canberra dedicated to the study, conservation, and display of Australia's native plant species.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ANBG
Target entity description: ANBG is the acronym for the Australian National Botanic Gardens, a major botanical institution in Canberra dedicated to the study, conservation, and display of Australia's native plant species.
  • A. BnG
    BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
  • B. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • C. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • D. ANA
    ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
  • E. ANA
    ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb376d288190abac85f2ffa853dc completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680a23e0819088851295a605a085 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b369b68900819086028b16657c6dc9 completed March 13, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69b36a08cff08190897adaa51f32df4a completed March 13, 2026, 1:36 a.m.
Created at: March 8, 2026, 3:17 p.m.