Triple

T8489337
Position Surface form Disambiguated ID Type / Status
Subject Iveco E200926 entity
Predicate brand P1500 FINISHED
Object Astra
Astra is an Italian manufacturer of heavy-duty off-road trucks and construction vehicles, known for its robust equipment used in mining, construction, and military applications.
 E737299 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: Astra | Statement: [Iveco, brand, Astra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Astra
Context triple: [Iveco, brand, Astra]
  • A. Astra
    Astra is a prominent Asian work, likely a creative or literary piece, recognized for its cultural and artistic significance within Asia.
  • B. Astra Planeta
    Astra Planeta are the personified star and planet deities of ancient Greek mythology, often depicted as radiant celestial gods associated with the night sky.
  • C. ASTRA
    ASTRA is the abbreviated name of Switzerland’s Federal Roads Office, the national authority responsible for the country’s road infrastructure and traffic management.
  • D. Antares
    Antares was the Lunar Module used in NASA’s Apollo 14 mission to land astronauts on the Moon in 1971.
  • E. Antares
    Antares is a bright red supergiant star, one of the largest and most luminous visible to the naked eye, located in the constellation Scorpius.
  • 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: Astra
Triple: [Iveco, brand, Astra]
Generated description
Astra is an Italian manufacturer of heavy-duty off-road trucks and construction vehicles, known for its robust equipment used in mining, construction, and military applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Astra
Target entity description: Astra is an Italian manufacturer of heavy-duty off-road trucks and construction vehicles, known for its robust equipment used in mining, construction, and military applications.
  • A. Astra
    Astra is a prominent Asian work, likely a creative or literary piece, recognized for its cultural and artistic significance within Asia.
  • B. Astra Planeta
    Astra Planeta are the personified star and planet deities of ancient Greek mythology, often depicted as radiant celestial gods associated with the night sky.
  • C. ASTRA
    ASTRA is the abbreviated name of Switzerland’s Federal Roads Office, the national authority responsible for the country’s road infrastructure and traffic management.
  • D. Antares
    Antares was the Lunar Module used in NASA’s Apollo 14 mission to land astronauts on the Moon in 1971.
  • E. Antares
    Antares is a bright red supergiant star, one of the largest and most luminous visible to the naked eye, located in the constellation Scorpius.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5581d308190b47d76dd49a36529 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a4e5be48190b5c598123ef75f8b completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3d0323248190a076a209df98c96c completed April 2, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_69ce3d7909f48190a46f58fca75d7740 completed April 2, 2026, 9:57 a.m.
Created at: March 30, 2026, 6:13 p.m.