Triple

T9881848
Position Surface form Disambiguated ID Type / Status
Subject Reading Public Museum E180826 entity
Predicate name P16 FINISHED
Object Reading Public Museum E180826 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: Reading Public Museum | Statement: [Reading Public Museum, name, Reading Public Museum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reading Public Museum
Context triple: [Reading Public Museum, name, Reading Public Museum]
  • A. Reading Public Museum chosen
    Reading Public Museum is a cultural institution in Reading, Pennsylvania, featuring art, science, and history exhibits along with a planetarium and arboretum.
  • B. The Museum
    The Museum is an art exhibition space within Tokyo’s Bunkamura cultural complex, known for hosting a wide range of domestic and international art shows.
  • C. Paper Museum
    Paper Museum is a specialized museum in Kita, Tokyo dedicated to the history, culture, and technology of papermaking.
  • D. Museum of Us
    The Museum of Us is an anthropology and cultural history museum in San Diego that explores human experiences, beliefs, and diversity across time and cultures.
  • E. Reading Museum
    Reading Museum is a local history and art museum in Reading, England, known for its collections on the town’s heritage and its full-scale replica of the Bayeux Tapestry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb418417c8190b00dea8916a2e102 completed April 2, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d6ec5a081908251e67b575c7c33 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:38 p.m.