Triple

T34270372
Position Surface form Disambiguated ID Type / Status
Subject 烈嶼鄉 E879295 entity
Predicate historicalName P65 FINISHED
Object 小金門
小金門是位於臺灣金門群島西南側、具有重要戰略與軍事歷史意義的離島。
 E2089970 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: 小金門 | Statement: [烈嶼鄉, historicalName, 小金門]
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: 小金門
Triple: [烈嶼鄉, historicalName, 小金門]
Generated description
小金門是位於臺灣金門群島西南側、具有重要戰略與軍事歷史意義的離島。

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_69f349b4f5fc819094b441d18e95e5f1 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f712ce4a0c819087886c61df83f219 completed May 3, 2026, 9:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36f9bb94508190af32b46bbdb79588 completed June 20, 2026, 8:36 p.m.
NEDg Description generation batch_6a36fc20a7b88190b3460b10d41af555 completed June 20, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_6a36fc7936148190991713b65957270e completed June 20, 2026, 8:47 p.m.
Created at: May 1, 2026, 1:56 a.m.