Triple

T9597847
Position Surface form Disambiguated ID Type / Status
Subject Port of Santos E231775 entity
Predicate hasUNLocode P1492 FINISHED
Object BRSSZ
BRSSZ is the UN/LOCODE identifier for the Port of Santos, Brazil’s largest and busiest seaport.
 E808906 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: BRSSZ | Statement: [Port of Santos, hasUNLocode, BRSSZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRSSZ
Context triple: [Port of Santos, hasUNLocode, BRSSZ]
  • A. BZR
    BZR is the IATA airport code for Béziers Cap d’Agde Airport, a regional airport in southern France serving the Béziers and Cap d’Agde area.
  • B. ZSSS
    ZSSS is the ICAO airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub in Shanghai, China.
  • C. BRS
    BRS is the IATA airport code for Bristol Airport, a major regional airport serving Bristol and the southwest of England.
  • D. BRS
    BRS is the acronym commonly used for Biotechnology Regulatory Services, a U.S. regulatory program overseeing the safe development and use of certain genetically engineered organisms.
  • E. BRS
    BRS is the abbreviation for British Road Services, the former state-owned road haulage operator in the United Kingdom.
  • 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: BRSSZ
Triple: [Port of Santos, hasUNLocode, BRSSZ]
Generated description
BRSSZ is the UN/LOCODE identifier for the Port of Santos, Brazil’s largest and busiest seaport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRSSZ
Target entity description: BRSSZ is the UN/LOCODE identifier for the Port of Santos, Brazil’s largest and busiest seaport.
  • A. BZR
    BZR is the IATA airport code for Béziers Cap d’Agde Airport, a regional airport in southern France serving the Béziers and Cap d’Agde area.
  • B. ZSSS
    ZSSS is the ICAO airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub in Shanghai, China.
  • C. BRS
    BRS is the IATA airport code for Bristol Airport, a major regional airport serving Bristol and the southwest of England.
  • D. BRS
    BRS is the acronym commonly used for Biotechnology Regulatory Services, a U.S. regulatory program overseeing the safe development and use of certain genetically engineered organisms.
  • E. BRS
    BRS is the abbreviation for British Road Services, the former state-owned road haulage operator in the United Kingdom.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a366d3481908db62e476958eafe completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1619f4170819092ae90b2896b0855 completed April 4, 2026, 7:08 p.m.
NEDg Description generation batch_69d163c1abfc8190baae07681ea13104 completed April 4, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69d16476b9188190ab28efb0433c99b0 completed April 4, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:07 p.m.