Triple

T27489721
Position Surface form Disambiguated ID Type / Status
Subject 連戰 E693844 entity
Predicate 曾任職務 P162441 FINISHED
Object 中國國民黨秘書長
中國國民黨秘書長是中國國民黨中央黨部中負責綜理黨務運作與行政事務、協調各級組織並執行決策中樞指令的最高行政主管職位。
 E1776369 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: 中國國民黨秘書長 | Statement: [連戰, 曾任職務, 中國國民黨秘書長]
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: 中國國民黨秘書長
Triple: [連戰, 曾任職務, 中國國民黨秘書長]
Generated description
中國國民黨秘書長是中國國民黨中央黨部中負責綜理黨務運作與行政事務、協調各級組織並執行決策中樞指令的最高行政主管職位。

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_69ef5382b9648190be0b1ef2ad5d043c completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f64cb36ed88190973a4790577762eb completed May 2, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbf19cdc8190b82e238391ee22eb completed May 24, 2026, 8:50 a.m.
NEDg Description generation batch_6a12be08962481909e13de304e15e926 completed May 24, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_6a12be94d1d88190a2805d148c0cc2b8 completed May 24, 2026, 9:02 a.m.
Created at: April 27, 2026, 1:04 p.m.