Triple

T25322540
Position Surface form Disambiguated ID Type / Status
Subject 慈湖 E634922 entity
Predicate isBurialSiteOf P196 FINISHED
Object 中華民國前總統蔣介石
中華民國前總統蔣介石是近代中國與臺灣歷史上關鍵的政治與軍事領袖,曾長期主導國民政府並在國共內戰後領導中華民國政府遷臺。
E712801 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: 中華民國前總統蔣介石 | Statement: [慈湖, isBurialSiteOf, 中華民國前總統蔣介石]
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: 中華民國前總統蔣介石
Triple: [慈湖, isBurialSiteOf, 中華民國前總統蔣介石]
Generated description
中華民國前總統蔣介石是近代中國與臺灣歷史上關鍵的政治與軍事領袖,曾長期主導國民政府並在國共內戰後領導中華民國政府遷臺。

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_69e75a9908108190a95427a97020632a completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4969035ac8190a35a8f6c4e4685a7 completed May 1, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089783514819099740288fa8565d3 completed May 22, 2026, 4:51 p.m.
NEDg Description generation batch_6a108c031cac8190bf1fa712d4a7d717 completed May 22, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a108cf384248190bea3f3ba8dfda036 completed May 22, 2026, 5:05 p.m.
Created at: April 21, 2026, 1:29 p.m.