Triple

T4127160
Position Surface form Disambiguated ID Type / Status
Subject SLIM E92752 entity
Predicate missionGoal P52033 FINISHED
Object improve accuracy of lunar landing to within tens of meters 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: improve accuracy of lunar landing to within tens of meters | Statement: [SLIM, missionGoal, improve accuracy of lunar landing to within tens of meters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: missionGoal
Context triple: [SLIM, missionGoal, improve accuracy of lunar landing to within tens of meters]
  • A. mission
    Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
  • B. missionFocus
    Indicates that an entity’s primary attention, effort, or resources are directed toward a particular mission, goal, or objective.
  • C. missionScope
    Indicates the defined range, objectives, and boundaries within which a mission or operation is intended to be carried out.
  • D. goalDescription chosen
    Indicates that an entity expresses, specifies, or provides a textual description of a goal or intended outcome associated with another entity or activity.
  • E. missionLed
    Indicates that an entity served as the leader or commander of a particular mission.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af03a0f3408190adba7a8513bd3d12 completed March 9, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69af01883b6c8190a482ead589a131a5 completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:42 p.m.