Triple

T25875894
Position Surface form Disambiguated ID Type / Status
Subject Xin dynasty E651899 entity
Predicate claimedPrecedent P162604 FINISHED
Object Zhou dynasty institutions 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: Zhou dynasty institutions | Statement: [Xin dynasty, claimedPrecedent, Zhou dynasty institutions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: claimedPrecedent
Context triple: [Xin dynasty, claimedPrecedent, Zhou dynasty institutions]
  • A. precedentChallenged
    Indicates that an existing legal precedent is being questioned, disputed, or formally contested.
  • B. typicalPrecedent
    Indicates that one situation, case, or event serves as a standard or commonly followed example for how similar later situations are handled.
  • C. claimedPrinciple
    Indicates that an entity has asserted or stated a particular principle as true, valid, or guiding.
  • D. modifiedPrecedent
    Indicates that one entity has altered, qualified, or changed the terms, scope, or interpretation of a prior decision, rule, or precedent.
  • E. precedentInterpreted
    Indicates that one legal precedent is interpreted or understood in a particular way, often as clarified or applied in subsequent decisions or analyses.
  • 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_69e7ab3ad9d88190841ddcb93ab02e96 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f62b9e5ba88190a3c0d46edec7afe7 completed May 2, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69f623a4e1048190bbb8dd1253fdcee9 completed May 2, 2026, 4:17 p.m.
PDg Predicate description generation batch_69f627ad6d4c81909796d39d78e414f9 completed May 2, 2026, 4:34 p.m.
Created at: April 22, 2026, 8:12 a.m.