Triple

T10532324
Position Surface form Disambiguated ID Type / Status
Subject Ben-Veniste E248474 entity
Predicate hasPart P35 FINISHED
Object Veniste
Veniste is a component or subdivision associated with Ben-Veniste, likely representing a related name, branch, or derivative entity.
E869768 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: Veniste | Statement: [Ben-Veniste, hasPart, Veniste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veniste
Context triple: [Ben-Veniste, hasPart, Veniste]
  • A. Vimioso
    Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
  • B. Viras
    Viras is a squid-like alien kaiju from the Gamera film series, known as a leader of an invading extraterrestrial race that battles the giant turtle monster.
  • C. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • D. Viddalba
    Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
  • E. Vengi
    Vengi was an important early medieval city and region in southeastern India that served as a major political and cultural center under the Eastern Chalukya dynasty.
  • 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: Veniste
Triple: [Ben-Veniste, hasPart, Veniste]
Generated description
Veniste is a component or subdivision associated with Ben-Veniste, likely representing a related name, branch, or derivative entity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veniste
Target entity description: Veniste is a component or subdivision associated with Ben-Veniste, likely representing a related name, branch, or derivative entity.
  • A. Vimioso
    Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
  • B. Viras
    Viras is a squid-like alien kaiju from the Gamera film series, known as a leader of an invading extraterrestrial race that battles the giant turtle monster.
  • C. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • D. Viddalba
    Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
  • E. Vengi
    Vengi was an important early medieval city and region in southeastern India that served as a major political and cultural center under the Eastern Chalukya dynasty.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a17f23081909f3372e160e21670 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e471e9c8190b134249073b289bd completed April 10, 2026, 2:50 p.m.
NEDg Description generation batch_69d9107f488481908845aef0fdf6d60d completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911790010819093fc50952502fd59 completed April 10, 2026, 3:04 p.m.
Created at: April 6, 2026, 12:30 p.m.