Triple

T30922450
Position Surface form Disambiguated ID Type / Status
Subject Zhang Dejiang E787764 entity
Predicate officeContested P495 FINISHED
Object National People’s Congress deputy
A National People’s Congress deputy is an elected member of China’s top legislative body, responsible for participating in lawmaking, policy deliberation, and oversight of state organs.
 E1939198 NE 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: National People’s Congress deputy | Statement: [Zhang Dejiang, officeContested, National People’s Congress deputy]
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: National People’s Congress deputy
Triple: [Zhang Dejiang, officeContested, National People’s Congress deputy]
Generated description
A National People’s Congress deputy is an elected member of China’s top legislative body, responsible for participating in lawmaking, policy deliberation, and oversight of state organs.

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_69f224bfaca88190b9d0dfcc86297fe9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692b64540819090b6fad5663d3871 completed May 3, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28e469919881909562570d94b67f5d completed June 10, 2026, 4:13 a.m.
NEDg Description generation batch_6a28e8a299908190a16f145e901f8edd completed June 10, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_6a28e91bbbcc8190bf420aaed9cf4b8a completed June 10, 2026, 4:33 a.m.
Created at: April 29, 2026, 8:51 p.m.