Triple

T23661133
Position Surface form Disambiguated ID Type / Status
Subject Dachen Islands E584447 entity
Predicate hasAlternativeName P39 FINISHED
Object Tachen Islands
The Tachen Islands are a small group of strategically located islands in the East China Sea, administered by Taiwan (Republic of China) but claimed by the People’s Republic of China.
E1646157 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: Tachen Islands | Statement: [Dachen Islands, hasAlternativeName, Tachen Islands]
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: Tachen Islands
Triple: [Dachen Islands, hasAlternativeName, Tachen Islands]
Generated description
The Tachen Islands are a small group of strategically located islands in the East China Sea, administered by Taiwan (Republic of China) but claimed by the People’s Republic of China.

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_69e248ffc0888190ae23c4731eb8b7ac completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b3601ce481909a4ae9d633b9a343 completed April 29, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a100fc9bc488190b3a577791af19af2 completed May 22, 2026, 8:11 a.m.
NEDg Description generation batch_6a10136871588190b4e4b4618ab7a400 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10141161b08190b471a7882a4d8aa0 completed May 22, 2026, 8:30 a.m.
Created at: April 17, 2026, 6:50 p.m.