Triple

T28927656
Position Surface form Disambiguated ID Type / Status
Subject Hope Street E733693 entity
Predicate hasLandmark P105 FINISHED
Object The London Carriage Works restaurant
The London Carriage Works restaurant is a contemporary fine-dining venue in Liverpool known for its modern British cuisine and stylish setting within the Hope Street Hotel.
 E1839951 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: The London Carriage Works restaurant | Statement: [Hope Street, hasLandmark, The London Carriage Works restaurant]
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: The London Carriage Works restaurant
Triple: [Hope Street, hasLandmark, The London Carriage Works restaurant]
Generated description
The London Carriage Works restaurant is a contemporary fine-dining venue in Liverpool known for its modern British cuisine and stylish setting within the Hope Street Hotel.

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_69f05b0b49b08190b8994b339c7980f6 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65b4fee008190bc43ed7e719872db completed May 2, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24d422a43c8190bc703998c64b1b3a completed June 7, 2026, 2:14 a.m.
NEDg Description generation batch_6a24d809531081909ae82eb3e968136e completed June 7, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_6a24dc3904c8819083e4eed8b2371d03 completed June 7, 2026, 2:49 a.m.
Created at: April 28, 2026, 8:25 a.m.