Triple

T5443131
Position Surface form Disambiguated ID Type / Status
Subject Australian Bureau of Meteorology E122184 entity
Predicate shortName P43 FINISHED
Object BoM
BoM is Australia’s national weather, climate, and water agency responsible for forecasting, warnings, and environmental monitoring.
 E521447 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: BoM | Statement: [Australian Bureau of Meteorology, shortName, BoM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BoM
Context triple: [Australian Bureau of Meteorology, shortName, BoM]
  • A. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • B. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • C. BOA
    BOA is the abbreviation commonly used for the British Olympic Association, the National Olympic Committee responsible for Great Britain and Northern Ireland’s participation in the Olympic Games.
  • D. Bou
    Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
  • E. Bos
    Bos is a Dutch surname most notably borne by Bert Bos, a computer scientist and co-creator of the CSS web standard.
  • 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: BoM
Triple: [Australian Bureau of Meteorology, shortName, BoM]
Generated description
BoM is Australia’s national weather, climate, and water agency responsible for forecasting, warnings, and environmental monitoring.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BoM
Target entity description: BoM is Australia’s national weather, climate, and water agency responsible for forecasting, warnings, and environmental monitoring.
  • A. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • B. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • C. BOA
    BOA is the abbreviation commonly used for the British Olympic Association, the National Olympic Committee responsible for Great Britain and Northern Ireland’s participation in the Olympic Games.
  • D. Bou
    Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
  • E. Bos
    Bos is a Dutch surname most notably borne by Bert Bos, a computer scientist and co-creator of the CSS web standard.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91cb5eec8190bdf2ef0bdea84a62 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41302d588190afa5906d0e3dd891 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf42e2bbe08190be6616a9cab6f9a0 completed March 22, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_69bf4343879881909b26e716d10fbad3 completed March 22, 2026, 1:17 a.m.
Created at: March 20, 2026, 2:07 p.m.