Triple

T741973
Position Surface form Disambiguated ID Type / Status
Subject Antarctic krill E15262 entity
Predicate describedBy P264 FINISHED
Object Dana
Dana is a scientific work or authority that provides the formal description and classification of Antarctic krill.
 E95232 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: Dana | Statement: [Antarctic krill, describedBy, Dana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dana
Context triple: [Antarctic krill, describedBy, Dana]
  • A. Trent
    The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
  • B. Cana
    Cana is a small town in the region of Galilee, traditionally known in Christian tradition as the site where Jesus performed his first miracle of turning water into wine.
  • C. Ain
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • D. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • E. Asshewaqua
    Asshewaqua was the wife of the Sauk leader Black Hawk, a prominent Native American figure in early 19th-century United States history.
  • 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: Dana
Triple: [Antarctic krill, describedBy, Dana]
Generated description
Dana is a scientific work or authority that provides the formal description and classification of Antarctic krill.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dana
Target entity description: Dana is a scientific work or authority that provides the formal description and classification of Antarctic krill.
  • A. Trent
    The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
  • B. Cana
    Cana is a small town in the region of Galilee, traditionally known in Christian tradition as the site where Jesus performed his first miracle of turning water into wine.
  • C. Ain
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • D. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • E. Asshewaqua
    Asshewaqua was the wife of the Sauk leader Black Hawk, a prominent Native American figure in early 19th-century United States history.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a60e286c81908787a41cf9b9f150 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6891da56c8190965745d6ca13c75b completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a68a1eb9d481909cbc9dc43c3b6a86 completed March 3, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69a6d6192d988190b52be6ce801c3d9c completed March 3, 2026, 12:37 p.m.
Created at: March 1, 2026, 7:37 p.m.