Triple

T26569107
Position Surface form Disambiguated ID Type / Status
Subject Great Ormond Street E666771 entity
Predicate hasConnectingStreet P36837 FINISHED
Object Millman Street
Millman Street is a street in central London located near Great Ormond Street in the Bloomsbury area.
 E2284607 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: Millman Street | Statement: [Great Ormond Street, hasConnectingStreet, Millman Street]
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: Millman Street
Triple: [Great Ormond Street, hasConnectingStreet, Millman Street]
Generated description
Millman Street is a street in central London located near Great Ormond Street in the Bloomsbury area.

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_69ee9cfa21c081909e4e36e087debfc6 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f614a1bc9481908b25759bd74dca2f completed May 2, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a43d700d5708190874cc65c890b7f27 completed June 30, 2026, 2:47 p.m.
NEDg Description generation batch_6a43d7beb86881908dadfe1727b8cf5c completed June 30, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_6a43de7fd0cc8190af37d2daee55af2c completed June 30, 2026, 3:19 p.m.
Created at: April 27, 2026, 1:56 a.m.