Triple

T19612013
Position Surface form Disambiguated ID Type / Status
Subject Venera 1 E470755 entity
Predicate closestApproachTarget P13778 FINISHED
Object Venus NE NERFINISHED

How this triple was built (2 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: Venus | Statement: [Venera 1, closestApproachTarget, Venus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venus
Context triple: [Venera 1, closestApproachTarget, Venus]
  • A. Venus
    Venus is a character in the action film "Crank: High Voltage," known for her involvement in the movie’s chaotic, high-energy storyline.
  • B. Venus chosen
    Venus is the second planet from the Sun, known for its dense, toxic atmosphere, extreme surface temperatures, and bright visibility in Earth's sky.
  • C. Venus
    Venus is the Roman goddess of love, beauty, and fertility, often depicted as the divine ancestor and protector of Aeneas and the Roman people.
  • D. Venus
    Venus is a small suburban town within the greater Dallas–Fort Worth metropolitan area in Texas.
  • E. Venus
    Venus is a Romanian Black Sea seaside resort town in Constanța County, known for its beaches and tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cbeda08190addb1adf84af4993 completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.