Triple

T3006509
Position Surface form Disambiguated ID Type / Status
Subject Saab 32 Lansen E81913 entity
Predicate natoReportingName P6062 FINISHED
Object Lansen
Lansen is the NATO reporting name for the Swedish Saab 32, a Cold War-era jet aircraft used primarily for attack and reconnaissance roles.
 E319499 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: Lansen | Statement: [Saab 32 Lansen, natoReportingName, Lansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lansen
Context triple: [Saab 32 Lansen, natoReportingName, Lansen]
  • A. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • B. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • C. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • D. Lange
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • E. Tsalka
    Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
  • 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: Lansen
Triple: [Saab 32 Lansen, natoReportingName, Lansen]
Generated description
Lansen is the NATO reporting name for the Swedish Saab 32, a Cold War-era jet aircraft used primarily for attack and reconnaissance roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lansen
Target entity description: Lansen is the NATO reporting name for the Swedish Saab 32, a Cold War-era jet aircraft used primarily for attack and reconnaissance roles.
  • A. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • B. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • C. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • D. Lange
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • E. Tsalka
    Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a48f0888190bdec150dac623851 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e5b35e48190a9319a545d041ccc completed March 11, 2026, 8:56 a.m.
NEDg Description generation batch_69b12ed522148190b25ad1de42b1604d completed March 11, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_69b1d65fed248190ba3bcf0bef665264 completed March 11, 2026, 8:53 p.m.
Created at: March 8, 2026, 3 p.m.