Triple

T9889910
Position Surface form Disambiguated ID Type / Status
Subject State of Qin E181425 entity
Predicate conqueredState P91633 FINISHED
Object Wei
Wei was an ancient Chinese state during the Warring States period, known for its early strength and later decline before being annexed by the rising Qin dynasty.
 E827544 NE FINISHED

How this triple was built (4 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: Wei | Statement: [State of Qin, conqueredState, Wei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wei
Context triple: [State of Qin, conqueredState, Wei]
  • A. Wei
    Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
  • B. Wen
    Wen was the personal given name of Emperor Yizong, a ninth-century ruler of China’s Tang dynasty.
  • C. Wen
    Wen is the posthumous title of King Wen of Zhou, the virtuous and foundational ruler traditionally credited with laying the groundwork for the Zhou dynasty in ancient China.
  • D. Wen
    Wen is the given name of Sun I-hsien, a person identifiable by this personal name within Chinese naming conventions.
  • E. Wisen
    Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wei
Triple: [State of Qin, conqueredState, Wei]
Generated description
Wei was an ancient Chinese state during the Warring States period, known for its early strength and later decline before being annexed by the rising Qin dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wei
Target entity description: Wei was an ancient Chinese state during the Warring States period, known for its early strength and later decline before being annexed by the rising Qin dynasty.
  • A. Wei
    Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
  • B. Wen
    Wen was the personal given name of Emperor Yizong, a ninth-century ruler of China’s Tang dynasty.
  • C. Wen
    Wen is the posthumous title of King Wen of Zhou, the virtuous and foundational ruler traditionally credited with laying the groundwork for the Zhou dynasty in ancient China.
  • D. Wen
    Wen is the given name of Sun I-hsien, a person identifiable by this personal name within Chinese naming conventions.
  • E. Wisen
    Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
  • F. None of above. chosen

Provenance (5 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47dfa908190884e96e5e5d6f41f completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb08075c81908e017df8048daba8 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1eca8703c8190a473fdafa2a2d273 completed April 5, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_69d1ed2a1318819087a5b787724fa10c completed April 5, 2026, 5:03 a.m.
Created at: March 30, 2026, 8:39 p.m.