Triple

T32368365
Position Surface form Disambiguated ID Type / Status
Subject Zhu Wen E827059 entity
Predicate commandedCircuit P189731 FINISHED
Object Xuanwu Circuit
Xuanwu Circuit was a prominent administrative and military region (circuit) of the late Tang dynasty in China, centered around modern Kaifeng in Henan.
 E2003026 NE FINISHED

How this triple was built (3 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: Xuanwu Circuit | Statement: [Zhu Wen, commandedCircuit, Xuanwu Circuit]
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: Xuanwu Circuit
Triple: [Zhu Wen, commandedCircuit, Xuanwu Circuit]
Generated description
Xuanwu Circuit was a prominent administrative and military region (circuit) of the late Tang dynasty in China, centered around modern Kaifeng in Henan.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: commandedCircuit
Context triple: [Zhu Wen, commandedCircuit, Xuanwu Circuit]
  • A. onCircuit
    Indicates that one entity is located on, attached to, or part of an electrical circuit associated with another entity.
  • B. circuitUsed
    Indicates that a particular circuit is utilized or employed in performing an action, process, or function.
  • C. circuit
    Indicates that one entity forms or participates in an electrical or logical pathway that allows current or signals to flow through a connected system involving another entity.
  • D. servesCircuit
    Indicates that an entity provides legal representation or service in a specified judicial circuit.
  • E. isCircuit
    Indicates that an entity functions as or constitutes an electrical or logical circuit within a system.
  • F. None of above. chosen

Provenance (7 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_69f349166d548190887b412fe908e2f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fbca6c066c8190a1599202f341417f completed May 6, 2026, 11:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8b017b08190b4f1b7ed53eff201 completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33e989a01c819092467345a1a454f5 completed June 18, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a3400cf3f148190be8972e1062333e9 completed June 18, 2026, 2:29 p.m.
PD Predicate disambiguation batch_69fbc8ec03ac8190a757563f96fab283 completed May 6, 2026, 11:04 p.m.
PDg Predicate description generation batch_69fbc9d0854c8190aa00093274afebb8 completed May 6, 2026, 11:08 p.m.
Created at: May 1, 2026, 12:50 a.m.