Triple

T8531026
Position Surface form Disambiguated ID Type / Status
Subject State of Wei E201948 entity
Predicate capital P234 FINISHED
Object Daliang
Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
 E751664 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: Daliang | Statement: [State of Wei, capital, Daliang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daliang
Context triple: [State of Wei, capital, Daliang]
  • A. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • B. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • C. Shilun
    Shilun is the given name of Song Shilun, a prominent Chinese military commander and general of the People’s Liberation Army.
  • D. Yutian
    Yutian is the ancient name of the oasis kingdom and region historically known as Hotan on the southern Silk Road in what is now Xinjiang, China.
  • E. Houhai
    Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
  • 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: Daliang
Triple: [State of Wei, capital, Daliang]
Generated description
Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daliang
Target entity description: Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • A. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • B. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • C. Shilun
    Shilun is the given name of Song Shilun, a prominent Chinese military commander and general of the People’s Liberation Army.
  • D. Yutian
    Yutian is the ancient name of the oasis kingdom and region historically known as Hotan on the southern Silk Road in what is now Xinjiang, China.
  • E. Houhai
    Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67546248190b359c845c0161ad3 completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef30c02908190892234cab9a22ad4 completed April 2, 2026, 10:51 p.m.
NEDg Description generation batch_69cef4cbc0788190bf95aa8058a8d895 completed April 2, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cef830e4e48190bf337a526cc82119 completed April 2, 2026, 11:13 p.m.
Created at: March 30, 2026, 6:17 p.m.