Triple

T31331104
Position Surface form Disambiguated ID Type / Status
Subject John Bright Street E799030 entity
Predicate hasPart P35 FINISHED
Object Theatrix bar
Theatrix bar is a nightlife venue located on John Bright Street, known for its lively atmosphere and drinks in Birmingham’s city centre.
 E1957942 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: Theatrix bar | Statement: [John Bright Street, hasPart, Theatrix bar]
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: Theatrix bar
Triple: [John Bright Street, hasPart, Theatrix bar]
Generated description
Theatrix bar is a nightlife venue located on John Bright Street, known for its lively atmosphere and drinks in Birmingham’s city centre.

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_69f224e3f6ac8190a13488516abca7c9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69ee0a3dc8190947fed6e015be9b9 completed May 3, 2026, 1:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a720f134c8190a7bbb8acb557b9d5 completed June 11, 2026, 8:30 a.m.
NEDg Description generation batch_6a2a758bc52c819096c0ae9478e1efa3 completed June 11, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_6a2a8ec249b48190abfa0770574380f6 completed June 11, 2026, 10:32 a.m.
Created at: April 29, 2026, 9:16 p.m.