Triple

T23037758
Position Surface form Disambiguated ID Type / Status
Subject Burnaby Hill, Hamilton E573649 entity
Predicate hasPostalCountryCode P17984 FINISHED
Object BMU
BMU is the ISO 3166-1 alpha-3 country code for Bermuda, a British Overseas Territory in the North Atlantic Ocean.
 E1567422 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: BMU | Statement: [Burnaby Hill, Hamilton, hasPostalCountryCode, BMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMU
Context triple: [Burnaby Hill, Hamilton, hasPostalCountryCode, BMU]
  • A. BAMU
    BAMU is a public state university located in Aurangabad, Maharashtra, India, named after social reformer Dr. B. R. Ambedkar and serving as a major center for higher education in the Marathwada region.
  • B. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • C. BMUV
    BMUV is the German federal ministry responsible for environmental protection, nature conservation, nuclear safety, and consumer protection policy.
  • D. BMN
    BMN is the National Rail station code for Bromley North railway station in the London Borough of Bromley, England.
  • E. BMM
    BMM (Business Motivation Model) is a standardized framework by the Object Management Group for modeling and analyzing an organization’s business plans, motivations, and governance.
  • 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: BMU
Triple: [Burnaby Hill, Hamilton, hasPostalCountryCode, BMU]
Generated description
BMU is the ISO 3166-1 alpha-3 country code for Bermuda, a British Overseas Territory in the North Atlantic Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMU
Target entity description: BMU is the ISO 3166-1 alpha-3 country code for Bermuda, a British Overseas Territory in the North Atlantic Ocean.
  • A. BAMU
    BAMU is a public state university located in Aurangabad, Maharashtra, India, named after social reformer Dr. B. R. Ambedkar and serving as a major center for higher education in the Marathwada region.
  • B. BMH
    BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
  • C. BMUV
    BMUV is the German federal ministry responsible for environmental protection, nature conservation, nuclear safety, and consumer protection policy.
  • D. BMN
    BMN is the National Rail station code for Bromley North railway station in the London Borough of Bromley, England.
  • E. BMM
    BMM (Business Motivation Model) is a standardized framework by the Object Management Group for modeling and analyzing an organization’s business plans, motivations, and governance.
  • 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_69f185111f0881908991fcd6cdc7db9f completed April 29, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2ba6cd48190adfde89532b51f43 completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0c0332a0288190a51b29aa03e1969a completed May 19, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0c04d4722c8190967b59808f6c1e36 completed May 19, 2026, 6:36 a.m.
Created at: April 17, 2026, 3:53 p.m.