Triple

T28064071
Position Surface form Disambiguated ID Type / Status
Subject Bristol city centre E709194 entity
Predicate hasNightlifeArea P8175 FINISHED
Object Park Street and Triangle area
Park Street and Triangle area is a lively district in Bristol known for its bars, clubs, restaurants, and student-friendly nightlife.
 E1800342 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: Park Street and Triangle area | Statement: [Bristol city centre, hasNightlifeArea, Park Street and Triangle area]
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: Park Street and Triangle area
Triple: [Bristol city centre, hasNightlifeArea, Park Street and Triangle area]
Generated description
Park Street and Triangle area is a lively district in Bristol known for its bars, clubs, restaurants, and student-friendly nightlife.

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_69ef9b6eb6d88190a3fea236eb0f7bed completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f6401a0a048190acce63aa4eceffac completed May 2, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b8c96bf881909bce3b2a07b77e10 completed May 26, 2026, 3:14 p.m.
NEDg Description generation batch_6a15b9e0dd9c8190a3fbe364e7a2f1f4 completed May 26, 2026, 3:18 p.m.
NED2 Entity disambiguation (via description) batch_6a15ba94e7b08190a4cee9898639bc9b completed May 26, 2026, 3:21 p.m.
Created at: April 27, 2026, 8:41 p.m.