Triple

T34806358
Position Surface form Disambiguated ID Type / Status
Subject Camera Obscura and World of Illusions E1003367 entity
Predicate formerName P65 FINISHED
Object Short’s Observatory
Short’s Observatory was an 18th-century Edinburgh attraction featuring scientific instruments and optical entertainment that later evolved into what is now known as the Camera Obscura and World of Illusions.
E2113343 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: Short’s Observatory | Statement: [Camera Obscura and World of Illusions, formerName, Short’s Observatory]
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: Short’s Observatory
Triple: [Camera Obscura and World of Illusions, formerName, Short’s Observatory]
Generated description
Short’s Observatory was an 18th-century Edinburgh attraction featuring scientific instruments and optical entertainment that later evolved into what is now known as the Camera Obscura and World of Illusions.

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_69f76db600b88190989abdf08fce3b27 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77a8e286481909852ed240c92b4aa completed May 3, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376faf72bc8190a16bb82d4c132d02 completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a37703823ac81908261228f65fcfa4b completed June 21, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_6a37716ab2c48190b7c24792201885c8 completed June 21, 2026, 5:06 a.m.
Created at: May 3, 2026, 3:59 p.m.