Triple

T25038147
Position Surface form Disambiguated ID Type / Status
Subject RSA House, John Adam Street E627037 entity
Predicate location P40 FINISHED
Object John Adam Street, London, England
John Adam Street in London, England is a historic street in the City of Westminster, known for its Georgian architecture and cultural institutions near the Strand.
E1663641 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: John Adam Street, London, England | Statement: [RSA House, John Adam Street, location, John Adam Street, London, England]
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: John Adam Street, London, England
Triple: [RSA House, John Adam Street, location, John Adam Street, London, England]
Generated description
John Adam Street in London, England is a historic street in the City of Westminster, known for its Georgian architecture and cultural institutions near the Strand.

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_69e2ff2a2c088190be513727ee8bfe78 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f45308d3148190bc24a7cdb570e866 completed May 1, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048c008688190b8cf55ab96b2268c completed May 22, 2026, 12:14 p.m.
NEDg Description generation batch_6a104a6df4208190b8fa9647b516b7fc completed May 22, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_6a104c29b7ec8190b6ecf8d745b9ce90 completed May 22, 2026, 12:29 p.m.
Created at: April 18, 2026, 6:08 a.m.