Triple

T28374265
Position Surface form Disambiguated ID Type / Status
Subject 商汤 E718713 entity
Predicate 治国理念 P40450 FINISHED
Object 以民为本 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: 以民为本 | Statement: [商汤, 治国理念, 以民为本]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 治国理念
Context triple: [商汤, 治国理念, 以民为本]
  • A. 实施国家
    Indicates the country that carries out, enforces, or implements a given policy, measure, action, or arrangement.
  • B. 相关政策
    Indicates that there exists a relevant or associated policy that applies to, governs, or influences the specified entity or situation.
  • C. governingStyleAssociatedWith chosen
    Indicates a relationship where a particular governing style, method, or approach is linked or attributed to a specific entity (such as a leader, regime, or organization).
  • D. governedTopic
    Indicates that a governing entity exercises authority, control, or regulatory oversight over a particular topic, issue, or domain.
  • E. politicalConceptAssociated
    Indicates that there is a conceptual or thematic association between a political concept and another entity (such as an idea, event, policy, or actor).
  • 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_69eff6ee5afc8190bd7375a29f0cc6c6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64c5d1290819087cbb832239699d4 completed May 2, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69f641e2f1708190b45b48d6a43c51d2 completed May 2, 2026, 6:26 p.m.
Created at: April 28, 2026, 1:02 a.m.