Triple

T19872436
Position Surface form Disambiguated ID Type / Status
Subject 洛河 E477550 entity
Predicate 考古意义 P12027 FINISHED
Object 流域内分布有多处史前文化遗址 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: 流域内分布有多处史前文化遗址 | Statement: [洛河, 考古意义, 流域内分布有多处史前文化遗址]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 考古意义
Context triple: [洛河, 考古意义, 流域内分布有多处史前文化遗址]
  • A. hasArchaeologicalValue chosen
    Indicates that something possesses significance or worth in the study, preservation, or interpretation of past human activity through material remains.
  • B. loreSignificance
    Indicates that something holds notable importance, relevance, or impact within a fictional world’s backstory, mythology, or overarching narrative.
  • C. anthropologicalSignificance
    Indicates that something holds importance or value for understanding human cultures, societies, or behaviors from an anthropological perspective.
  • D. hasArtHistoricalSignificance
    Indicates that something holds notable importance or influence within the context of art history.
  • E. historicSignificanceScope
    Indicates the extent or level (e.g., local, national, global) at which something is considered historically significant.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d826f88190be04188997952d1b completed April 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69e537e8c4e481909fe95d795b4864e7 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:51 p.m.