Triple

T37736188
Position Surface form Disambiguated ID Type / Status
Subject Two Truths doctrine E940281 entity
Predicate goalWithin P100703 FINISHED
Object clarifying path to enlightenment 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: clarifying path to enlightenment | Statement: [Two Truths doctrine, goalWithin, clarifying path to enlightenment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goalWithin
Context triple: [Two Truths doctrine, goalWithin, clarifying path to enlightenment]
  • A. goalIn chosen
    Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
  • B. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • C. goalHorizon
    Indicates the temporal or planning horizon within which a goal is intended to be pursued or achieved.
  • D. goalAtEnd
    Indicates that a particular goal or objective holds true or is achieved at the final state or endpoint of a process, sequence, or event.
  • E. goalImposedOn
    Indicates that a specific goal or objective is assigned or mandated by one entity for another entity to pursue or achieve.
  • 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_69f76edefd048190a32212c5c3919531 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaef0cec881908c2742d77d145901 completed May 6, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69fbadf632ec8190b14991c971258307 completed May 6, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:18 p.m.