Triple

T35155999
Position Surface form Disambiguated ID Type / Status
Subject Zhongshan District, Taipei E1015121 entity
Predicate contains P35 FINISHED
Object Taipei Fine Arts Museum
The Taipei Fine Arts Museum is a major public art museum in Taipei known for its modern and contemporary art exhibitions and role in promoting Taiwanese and international art.
E2127698 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: Taipei Fine Arts Museum | Statement: [Zhongshan District, Taipei, contains, Taipei Fine Arts Museum]
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: Taipei Fine Arts Museum
Triple: [Zhongshan District, Taipei, contains, Taipei Fine Arts Museum]
Generated description
The Taipei Fine Arts Museum is a major public art museum in Taipei known for its modern and contemporary art exhibitions and role in promoting Taiwanese and international art.

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_69f76ddb3a708190b521ba2970b17178 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78cf278648190896f49cd4c077520 completed May 3, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37d96635d88190a74d6ed4377d7b0e completed June 21, 2026, 12:30 p.m.
NEDg Description generation batch_6a37db7cafac8190864e50f23beee673 completed June 21, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_6a37dc7453048190ae4d28059c9eedba completed June 21, 2026, 12:43 p.m.
Created at: May 3, 2026, 4:02 p.m.