Triple

T2962754
Position Surface form Disambiguated ID Type / Status
Subject VR Commodore E80085 entity
Predicate offeredAs P1395 FINISHED
Object Berlina
Berlina is a higher-spec trim level of the Holden Commodore, offering upgraded comfort and features over the base model.
 E313704 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: Berlina | Statement: [VR Commodore, offeredAs, Berlina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berlina
Context triple: [VR Commodore, offeredAs, Berlina]
  • A. Breda
    Breda is a historic city in the southern Netherlands known for its medieval architecture, former status as a military and political center, and vibrant cultural life.
  • B. Berling
    Berling is a Polish surname most notably associated with Zygmunt Berling, a Polish general and political figure during World War II.
  • C. Berl
    Berl is a given name most notably associated with Berl Katznelson, a prominent Labor Zionist leader and ideologue in pre-state Israel.
  • D. Stolica
    Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
  • E. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • 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: Berlina
Triple: [VR Commodore, offeredAs, Berlina]
Generated description
Berlina is a higher-spec trim level of the Holden Commodore, offering upgraded comfort and features over the base model.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berlina
Target entity description: Berlina is a higher-spec trim level of the Holden Commodore, offering upgraded comfort and features over the base model.
  • A. Breda
    Breda is a historic city in the southern Netherlands known for its medieval architecture, former status as a military and political center, and vibrant cultural life.
  • B. Berling
    Berling is a Polish surname most notably associated with Zygmunt Berling, a Polish general and political figure during World War II.
  • C. Berl
    Berl is a given name most notably associated with Berl Katznelson, a prominent Labor Zionist leader and ideologue in pre-state Israel.
  • D. Stolica
    Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
  • E. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9955e6488190bea170724d5fbfe8 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc959b3c8190a0d95a3e616246f9 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd6caf508190b45a396d1402ca65 completed March 11, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_69b0fdcffa8081908e1c1392306ff7af completed March 11, 2026, 5:29 a.m.
Created at: March 8, 2026, 2:57 p.m.