Triple

T6970690
Position Surface form Disambiguated ID Type / Status
Subject Border Roads Organisation E161589 entity
Predicate abbreviation P43 FINISHED
Object BRO
BRO is the Border Roads Organisation, an Indian government agency responsible for constructing and maintaining roads and infrastructure in border and strategic areas.
 E633243 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: BRO | Statement: [Border Roads Organisation, abbreviation, BRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRO
Context triple: [Border Roads Organisation, abbreviation, BRO]
  • A. Bro
    Bro is a locality in Stockholm County, Sweden, known as one of the main population centers within Upplands-Bro Municipality.
  • B. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • C. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • D. BRA
    BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
  • E. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • 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: BRO
Triple: [Border Roads Organisation, abbreviation, BRO]
Generated description
BRO is the Border Roads Organisation, an Indian government agency responsible for constructing and maintaining roads and infrastructure in border and strategic areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRO
Target entity description: BRO is the Border Roads Organisation, an Indian government agency responsible for constructing and maintaining roads and infrastructure in border and strategic areas.
  • A. Bro
    Bro is a locality in Stockholm County, Sweden, known as one of the main population centers within Upplands-Bro Municipality.
  • B. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • C. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • D. BRA
    BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
  • E. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db38013081908037d23843dccad7 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7619ebab88190916e3d68068ed71d completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c7630440508190a66f218fd912d732 completed March 28, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69c7639747b88190b3429817d53c5703 completed March 28, 2026, 5:13 a.m.
Created at: March 27, 2026, 2:30 p.m.