Triple

T1254274
Position Surface form Disambiguated ID Type / Status
Subject British Security Coordination E26950 entity
Predicate usedCoverName P3799 FINISHED
Object BPCO
BPCO was a covert cover name used by the British Security Coordination, the World War II-era British intelligence and propaganda organization operating primarily in North America.
 E143748 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: BPCO | Statement: [British Security Coordination, usedCoverName, BPCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BPCO
Context triple: [British Security Coordination, usedCoverName, BPCO]
  • A. COP
    COP is the official currency code used internationally to represent the Colombian peso.
  • B. COP
    COP is the main annual United Nations climate summit where countries negotiate global agreements to address climate change.
  • C. BHR
    BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
  • D. CHF
    CHF is the official currency code for the Swiss franc, the national currency of Switzerland and Liechtenstein.
  • E. CYP
    CYP is the three-letter ISO 3166-1 alpha-3 country code assigned to Cyprus.
  • 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: BPCO
Triple: [British Security Coordination, usedCoverName, BPCO]
Generated description
BPCO was a covert cover name used by the British Security Coordination, the World War II-era British intelligence and propaganda organization operating primarily in North America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BPCO
Target entity description: BPCO was a covert cover name used by the British Security Coordination, the World War II-era British intelligence and propaganda organization operating primarily in North America.
  • A. COP
    COP is the official currency code used internationally to represent the Colombian peso.
  • B. COP
    COP is the main annual United Nations climate summit where countries negotiate global agreements to address climate change.
  • C. BHR
    BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
  • D. CHF
    CHF is the official currency code for the Swiss franc, the national currency of Switzerland and Liechtenstein.
  • E. CYP
    CYP is the three-letter ISO 3166-1 alpha-3 country code assigned to Cyprus.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bfa407a0819099399799a416152e completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c903488190bcbf1928699bafd2 completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac942d359c81908d2c2acb4c1aa8d0 completed March 7, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69ac95cf8800819080d18d559f73dcc2 completed March 7, 2026, 9:17 p.m.
Created at: March 1, 2026, 7:47 p.m.