Triple

T28374268
Position Surface form Disambiguated ID Type / Status
Subject 商汤 E718713 entity
Predicate 在中国历史上的地位 P153701 FINISHED
Object 中国历史上第二个王朝的开国君主 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: 中国历史上第二个王朝的开国君主 | Statement: [商汤, 在中国历史上的地位, 中国历史上第二个王朝的开国君主]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 在中国历史上的地位
Context triple: [商汤, 在中国历史上的地位, 中国历史上第二个王朝的开国君主]
  • A. statusInImperialChina
    Indicates the social, political, or bureaucratic standing an entity holds within the hierarchical system of Imperial China.
  • B. ChinaRole chosen
    Indicates that an entity has a specific role, function, or position in relation to China.
  • C. positionOnChineseCivilWar
    Indicates a stance or alignment an entity holds regarding the Chinese Civil War, such as support for a particular side, neutrality, or opposition.
  • D. politicalStatusUnderZhou
    Indicates the political status or position an entity held under the Zhou dynasty’s authority or administrative system.
  • E. hasHistoricalSignificance
    Indicates that something possesses notable importance or influence within a historical context or period.
  • 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.