Triple

T11617001
Position Surface form Disambiguated ID Type / Status
Subject Port of Broome E275533 entity
Predicate hasPortCode P24997 FINISHED
Object BRM
BRM is the port code for the Port of Broome, a regional deep-water port in Broome, Western Australia, serving shipping, offshore industry, and tourism activities.
 E937088 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: BRM | Statement: [Port of Broome, hasPortCode, BRM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRM
Context triple: [Port of Broome, hasPortCode, BRM]
  • A. BRM
    BRM (British Racing Motors) was a British Formula One constructor and team known for competing in the World Championship from the 1950s to the 1970s and winning the 1962 Constructors' title.
  • B. BRM
    BRM is the National Rail station code for Barmouth railway station in Gwynedd, Wales.
  • C. BNRM
    BNRM is the National Library of the Kingdom of Morocco, serving as the country’s main institution for preserving and providing access to its written and documentary heritage.
  • D. BRMB
    BRMB is the commonly used abbreviation for the Big Red Marching Band, the marching band of Cornell University.
  • E. BRS
    BRS is the IATA airport code for Bristol Airport, a major regional airport serving Bristol and the southwest of England.
  • 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: BRM
Triple: [Port of Broome, hasPortCode, BRM]
Generated description
BRM is the port code for the Port of Broome, a regional deep-water port in Broome, Western Australia, serving shipping, offshore industry, and tourism activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRM
Target entity description: BRM is the port code for the Port of Broome, a regional deep-water port in Broome, Western Australia, serving shipping, offshore industry, and tourism activities.
  • A. BRM
    BRM (British Racing Motors) was a British Formula One constructor and team known for competing in the World Championship from the 1950s to the 1970s and winning the 1962 Constructors' title.
  • B. BRM
    BRM is the National Rail station code for Barmouth railway station in Gwynedd, Wales.
  • C. BNRM
    BNRM is the National Library of the Kingdom of Morocco, serving as the country’s main institution for preserving and providing access to its written and documentary heritage.
  • D. BRMB
    BRMB is the commonly used abbreviation for the Big Red Marching Band, the marching band of Cornell University.
  • E. BRS
    BRS is the IATA airport code for Bristol Airport, a major regional airport serving Bristol and the southwest of England.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a04675e08190837a3717242fd0f9 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee872ee03481908a9d779a44ec5236 completed April 26, 2026, 9:44 p.m.
NEDg Description generation batch_69ee9cf692e08190b135de0bd7f96274 completed April 26, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69eecd715b448190b738479b7c1379a2 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:38 p.m.