Triple

T12955751
Position Surface form Disambiguated ID Type / Status
Subject National Natural Parks System of Colombia E310005 entity
Predicate abbreviation P43 FINISHED
Object SPNN
SPNN is the acronym for Colombia’s National Natural Parks System, the governmental network responsible for protecting and managing the country’s national parks and natural reserves.
 E1011281 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: SPNN | Statement: [National Natural Parks System of Colombia, abbreviation, SPNN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SPNN
Context triple: [National Natural Parks System of Colombia, abbreviation, SPNN]
  • A. SPN
    SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
  • B. SPN
    SPN is the vehicle registration code used on license plates for the town of Spremberg in Germany.
  • C. SPN
    SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
  • D. PNN
    PNN is the London Stock Exchange ticker symbol for Pennon Group, a UK-based water utility and environmental infrastructure company.
  • E. SPP
    SPP was the Mexican federal government’s Secretariat responsible for national economic planning, public spending, and budgetary policy.
  • 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: SPNN
Triple: [National Natural Parks System of Colombia, abbreviation, SPNN]
Generated description
SPNN is the acronym for Colombia’s National Natural Parks System, the governmental network responsible for protecting and managing the country’s national parks and natural reserves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SPNN
Target entity description: SPNN is the acronym for Colombia’s National Natural Parks System, the governmental network responsible for protecting and managing the country’s national parks and natural reserves.
  • A. SPN
    SPN is the vehicle registration code used on license plates for the town of Spremberg in Germany.
  • B. SPN
    SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
  • C. SPN
    SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
  • D. PNN
    PNN is the London Stock Exchange ticker symbol for Pennon Group, a UK-based water utility and environmental infrastructure company.
  • E. SPP
    SPP is the Supreme People's Procuratorate of China, the highest national agency responsible for legal prosecution and supervision of law enforcement in the country.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2b0108819098a681f93e90dbda completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af7ba4d88190952622e7a07ab39e completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b066f3888190b925e5a43be57965 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:44 p.m.