Triple

T9141261
Position Surface form Disambiguated ID Type / Status
Subject Charles Green E219331 entity
Predicate goalOfObservations P64674 FINISHED
Object improving the measurement of the astronomical unit — LITERAL FINISHED

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: improving the measurement of the astronomical unit | Statement: [Charles Green, goalOfObservations, improving the measurement of the astronomical unit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goalOfObservations
Context triple: [Charles Green, goalOfObservations, improving the measurement of the astronomical unit]
  • A. scienceGoals
    Indicates the objectives or intended outcomes that guide and justify a scientific activity, project, or investigation.
  • B. aimOf chosen
    Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
  • C. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • D. goalDescription
    Indicates that an entity expresses, specifies, or provides a textual description of a goal or intended outcome associated with another entity or activity.
  • E. usesObjective
    Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
  • F. None of above.

Provenance (3 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8f4df5c8190808edfa7c453a51c completed April 1, 2026, 5:11 a.m.
PD Predicate disambiguation batch_69cc6603ce8c8190bf6e8d6754bdec54 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:19 p.m.