Triple

T12155162
Position Surface form Disambiguated ID Type / Status
Subject Berom E289554 entity
Predicate hasISO6393Code P8719 FINISHED
Object bom
bom is the ISO 639-3 language code for Berom, a Plateau language spoken primarily in central Nigeria.
E963728 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: [Berom, hasISO6393Code, bom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bom
Context triple: [Berom, hasISO6393Code, bom]
  • A. BOM
    BOM is the IATA airport code for Chhatrapati Shivaji Maharaj International Airport serving Mumbai, India.
  • B. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • C. BoM
    BoM is Australia’s national weather, climate, and water agency responsible for forecasting, warnings, and environmental monitoring.
  • D. BOP
    BOP is the former ISO 4217 currency code for the Bolivian peso, which was replaced by the boliviano.
  • E. BOP
    BOP is the acronym for the United States Federal Bureau of Prisons, the federal agency responsible for the custody and care of individuals incarcerated in federal prisons.
  • 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: [Berom, hasISO6393Code, bom]
Generated description
bom is the ISO 639-3 language code for Berom, a Plateau language spoken primarily in central Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: bom
Target entity description: bom is the ISO 639-3 language code for Berom, a Plateau language spoken primarily in central Nigeria.
  • A. BOM
    BOM is the IATA airport code for Chhatrapati Shivaji Maharaj International Airport serving Mumbai, India.
  • B. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • C. BoM
    BoM is Australia’s national weather, climate, and water agency responsible for forecasting, warnings, and environmental monitoring.
  • D. BOP
    BOP is the former ISO 4217 currency code for the Bolivian peso, which was replaced by the boliviano.
  • E. BOP
    BOP is the acronym for the United States Federal Bureau of Prisons, the federal agency responsible for the custody and care of individuals incarcerated in federal prisons.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fe53d47c8190896a9abf8cc4bc31 completed May 2, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc563a08190b95db768df475a3a completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:50 p.m.