Triple

T4280221
Position Surface form Disambiguated ID Type / Status
Subject ORC E97127 entity
Predicate usedIn P98 FINISHED
Object Trino
Trino is a high-performance, distributed SQL query engine designed for interactive analytics across large-scale, heterogeneous data sources.
 E426164 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: Trino | Statement: [ORC, usedIn, Trino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trino
Context triple: [ORC, usedIn, Trino]
  • A. Troinex
    Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
  • B. Trife
    Trife is a rapper best known as a member of the Brooklyn hip hop collective Junior M.A.F.I.A.
  • C. Sutrio
    Sutrio is a small village in Italy’s Friuli-Venezia Giulia region, known as a traditional Alpine community and a base for accessing the nearby Monte Zoncolan ski and cycling area.
  • D. Trizina
    Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
  • E. Trezzini
    Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
  • 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: Trino
Triple: [ORC, usedIn, Trino]
Generated description
Trino is a high-performance, distributed SQL query engine designed for interactive analytics across large-scale, heterogeneous data sources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trino
Target entity description: Trino is a high-performance, distributed SQL query engine designed for interactive analytics across large-scale, heterogeneous data sources.
  • A. Troinex
    Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
  • B. Trife
    Trife is a rapper best known as a member of the Brooklyn hip hop collective Junior M.A.F.I.A.
  • C. Sutrio
    Sutrio is a small village in Italy’s Friuli-Venezia Giulia region, known as a traditional Alpine community and a base for accessing the nearby Monte Zoncolan ski and cycling area.
  • D. Trizina
    Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
  • E. Trezzini
    Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35037b654819087abbb5ea231eefd completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7bb0168819082a49347fdfe0997 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b88fc3c08190acc376d3c3ccd147 completed March 14, 2026, 7:35 p.m.
NED2 Entity disambiguation (via description) batch_69b5b8eada308190809db5c4ff7eeac6 completed March 14, 2026, 7:37 p.m.
Created at: March 12, 2026, 11:07 p.m.