Triple

T7886387
Position Surface form Disambiguated ID Type / Status
Subject Nuestra Señora de La Paz E183112 entity
Predicate hasUNLocode P1492 FINISHED
Object BO LPB
BO LPB is the UN/LOCODE identifier for the city of La Paz in Bolivia, used in international trade and transport logistics.
 E697957 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: BO LPB | Statement: [Nuestra Señora de La Paz, hasUNLocode, BO LPB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BO LPB
Context triple: [Nuestra Señora de La Paz, hasUNLocode, BO LPB]
  • A. LFPB
    LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
  • B. LDPB
    LDPB is a Belarusian political party known as the Liberal Democratic Party of Belarus.
  • C. BOP
    BOP is the former ISO 4217 currency code for the Bolivian peso, which was replaced by the boliviano.
  • D. BOP
    BOP refers to the Brigadas Orgánicas Polivalentes, versatile organic brigades within the Spanish Army designed for flexible, multi-role combat operations.
  • E. LBC
    LBC is a leading UK-based national talk radio station known for its news, politics, and phone-in discussion programmes.
  • 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: BO LPB
Triple: [Nuestra Señora de La Paz, hasUNLocode, BO LPB]
Generated description
BO LPB is the UN/LOCODE identifier for the city of La Paz in Bolivia, used in international trade and transport logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BO LPB
Target entity description: BO LPB is the UN/LOCODE identifier for the city of La Paz in Bolivia, used in international trade and transport logistics.
  • A. LPB chosen
    LPB is the IATA airport code for El Alto International Airport serving La Paz, Bolivia.
  • B. LFPB
    LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
  • C. LDPB
    LDPB is a Belarusian political party known as the Liberal Democratic Party of Belarus.
  • 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.

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_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39d7e6308190b5a554385e83ff0d completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b98f9b88190b25b5c23a9ae9ced completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb7631d10881908e3c7dacb98520cd completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbf847f3c819092d690d8d65f6d60 completed March 31, 2026, 12:35 p.m.
Created at: March 30, 2026, 4:59 p.m.