Triple

T11354719
Position Surface form Disambiguated ID Type / Status
Subject Inspector General of Colombia E268920 entity
Predicate abbreviation P43 FINISHED
Object PGN
PGN is the commonly used acronym for Colombia’s Office of the Inspector General, the state body responsible for overseeing public officials and safeguarding public interests.
 E920831 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: PGN | Statement: [Inspector General of Colombia, abbreviation, PGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PGN
Context triple: [Inspector General of Colombia, abbreviation, PGN]
  • A. PGN
    PGN is the vehicle registration code assigned to the city of Gniezno in Poland.
  • B. PGPL
    PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
  • C. KGS
    KGS is the IATA airport code for Kos Island International Airport, which serves the Greek island of Kos in the Aegean Sea.
  • D. KGS
    KGS is the official currency code for the Kyrgyzstani som, the national currency of Kyrgyzstan.
  • E. PGSN
    PGSN is the ICAO airport code for Saipan International Airport, the main airport serving Saipan in the Northern Mariana Islands.
  • 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: PGN
Triple: [Inspector General of Colombia, abbreviation, PGN]
Generated description
PGN is the commonly used acronym for Colombia’s Office of the Inspector General, the state body responsible for overseeing public officials and safeguarding public interests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PGN
Target entity description: PGN is the commonly used acronym for Colombia’s Office of the Inspector General, the state body responsible for overseeing public officials and safeguarding public interests.
  • A. PGN
    PGN is the vehicle registration code assigned to the city of Gniezno in Poland.
  • B. PGPL
    PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
  • C. KGS
    KGS is the IATA airport code for Kos Island International Airport, which serves the Greek island of Kos in the Aegean Sea.
  • D. KGS
    KGS is the official currency code for the Kyrgyzstani som, the national currency of Kyrgyzstan.
  • E. PGSN
    PGSN is the ICAO airport code for Saipan International Airport, the main airport serving Saipan in the Northern Mariana Islands.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea404e0c8190befe349b45918b38 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543b3cbd88190bb479ac88f8ca710 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.