Triple

T620771
Position Surface form Disambiguated ID Type / Status
Subject Vespidae E14506 entity
Predicate typeGenus P5980 FINISHED
Object Vespa
Vespa is a genus of large social wasps best known for including the true hornets found across Europe and Asia.
 E77766 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: Vespa | Statement: [Vespidae, typeGenus, Vespa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vespa
Context triple: [Vespidae, typeGenus, Vespa]
  • A. Flivver
    Flivver is a colloquial nickname for the Ford Model T, the iconic early 20th-century mass-produced automobile that revolutionized personal transportation.
  • B. Autavia
    Autavia is a line of high-performance sports chronographs and watches by TAG Heuer, originally designed for automotive and aviation use.
  • C. Moto
    Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
  • D. Ducati
    Ducati is an Italian motorcycle manufacturer renowned for its high-performance sport bikes, racing heritage, and distinctive design.
  • E. Abarth
    Abarth is an Italian performance car and racing brand known for tuning and producing sporty versions of Fiat and other compact vehicles.
  • 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: Vespa
Triple: [Vespidae, typeGenus, Vespa]
Generated description
Vespa is a genus of large social wasps best known for including the true hornets found across Europe and Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vespa
Target entity description: Vespa is a genus of large social wasps best known for including the true hornets found across Europe and Asia.
  • A. Flivver
    Flivver is a colloquial nickname for the Ford Model T, the iconic early 20th-century mass-produced automobile that revolutionized personal transportation.
  • B. Autavia
    Autavia is a line of high-performance sports chronographs and watches by TAG Heuer, originally designed for automotive and aviation use.
  • C. Moto
    Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
  • D. Ducati
    Ducati is an Italian motorcycle manufacturer renowned for its high-performance sport bikes, racing heritage, and distinctive design.
  • E. Abarth
    Abarth is an Italian performance car and racing brand known for tuning and producing sporty versions of Fiat and other compact vehicles.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e3e5d80819096e72e11b533f931 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c682f88190a2af1087246be4c4 completed March 2, 2026, 10:17 a.m.
NEDg Description generation batch_69a5647f67008190b279703c49d2b231 completed March 2, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_69a56509b9848190b88286ffb29df287 completed March 2, 2026, 10:23 a.m.
Created at: March 1, 2026, 7:35 p.m.