Triple

T16524094
Position Surface form Disambiguated ID Type / Status
Subject Secretariado de Propaganda Nacional E401389 entity
Predicate alsoKnownAs P39 FINISHED
Object SPN
SPN was the acronym for Portugal’s Secretariado de Propaganda Nacional, the Estado Novo regime’s official propaganda agency responsible for controlling and disseminating political messaging.
 E1218855 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: SPN | Statement: [Secretariado de Propaganda Nacional, alsoKnownAs, SPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SPN
Context triple: [Secretariado de Propaganda Nacional, alsoKnownAs, SPN]
  • A. SPN
    SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
  • B. SPN
    SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
  • C. SPN
    SPN is the vehicle registration code used on license plates for the town of Spremberg in Germany.
  • D. 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.
  • E. SNPA
    SNPA (Société Nationale des Pétroles d’Aquitaine) was a French state-owned oil and gas company best known for its role in exploring and developing major hydrocarbon fields in southwestern France.
  • 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: SPN
Triple: [Secretariado de Propaganda Nacional, alsoKnownAs, SPN]
Generated description
SPN was the acronym for Portugal’s Secretariado de Propaganda Nacional, the Estado Novo regime’s official propaganda agency responsible for controlling and disseminating political messaging.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SPN
Target entity description: SPN was the acronym for Portugal’s Secretariado de Propaganda Nacional, the Estado Novo regime’s official propaganda agency responsible for controlling and disseminating political messaging.
  • A. SPN
    SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
  • B. SPN
    SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
  • C. SPN
    SPN is the vehicle registration code used on license plates for the town of Spremberg in Germany.
  • D. 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.
  • E. SNPA
    SNPA (Société Nationale des Pétroles d’Aquitaine) was a French state-owned oil and gas company best known for its role in exploring and developing major hydrocarbon fields in southwestern France.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed2622c8190b6429a49ca92284a completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608b7f6081909912dd575979f8d7 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0062b6637c81908a619e36af7d6989 completed May 10, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a00639024d08190a46256691e89953a completed May 10, 2026, 10:53 a.m.
Created at: April 10, 2026, 5:14 a.m.