Triple

T28075780
Position Surface form Disambiguated ID Type / Status
Subject Longzhong Plan E709537 entity
Predicate laterInterpretedIn P34632 FINISHED
Object Romance of the Three Kingdoms 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: Romance of the Three Kingdoms | Statement: [Longzhong Plan, laterInterpretedIn, Romance of the Three Kingdoms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterInterpretedIn
Context triple: [Longzhong Plan, laterInterpretedIn, Romance of the Three Kingdoms]
  • A. laterReinterpretedAs chosen
    Indicates that something was originally understood or classified one way but was subsequently given a different interpretation or meaning at a later time.
  • B. laterIn
    Indicates that one event, state, or time point occurs after another in temporal order.
  • C. laterExtendedIn
    Indicates that an existing entity (such as a work, version, or specification) was subsequently expanded, updated, or built upon by a later entity.
  • D. laterDeployedIn
    Indicates that one entity was deployed or put into operation in a particular context, location, or system at a later time than another.
  • E. laterWithin
    Indicates that one event or time point occurs later than another while still falling within a specified temporal interval or boundary.
  • 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_69ef9b6f8078819098b741274cd1a2ee completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69fd4d1854988190be093b103a681798 completed May 8, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69fd4c8d1a188190897c24527337814a completed May 8, 2026, 2:38 a.m.
Created at: April 27, 2026, 8:48 p.m.