Triple

T20566060
Position Surface form Disambiguated ID Type / Status
Subject Four Books E504967 entity
Predicate statusInImperialChina P140583 FINISHED
Object authoritative canon 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: authoritative canon | Statement: [Four Books, statusInImperialChina, authoritative canon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusInImperialChina
Context triple: [Four Books, statusInImperialChina, authoritative canon]
  • A. legalStatusInEmpire
    Indicates the formal legal standing or classification an entity holds within a particular empire’s legal and administrative system.
  • B. compiledUnderDynasty
    Indicates that a work or document was compiled during the reign or period of a specific dynasty.
  • C. statusInByzantineEmpire
    Indicates the role, rank, or condition an entity held within the political or social structure of the Byzantine Empire.
  • D. nativeDynasty
    Indicates that a dynasty is indigenous to, or originally from, the place or polity it rules or is associated with.
  • E. ethnicStatusInChina
    Indicates the ethnic classification or status that an entity holds within the sociopolitical context of China.
  • F. None of above. chosen

Provenance (4 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a228948190b47a3a61f239e00d completed April 20, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69e59ff0116c8190a163ff28ed01430a completed April 20, 2026, 3:39 a.m.
PDg Predicate description generation batch_69e5a6a824748190bbe6192d73f3c613 completed April 20, 2026, 4:08 a.m.
Created at: April 16, 2026, 11:39 a.m.