Triple

T11106009
Position Surface form Disambiguated ID Type / Status
Subject Joseph Bazalgette E262629 entity
Predicate familyName P18 FINISHED
Object Bazalgette
Bazalgette is a surname most famously associated with Sir Joseph Bazalgette, the 19th-century civil engineer who designed London's modern sewer system.
 E905583 NE FINISHED

How this triple was built (4 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: Bazalgette | Statement: [Joseph Bazalgette, familyName, Bazalgette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bazalgette
Context triple: [Joseph Bazalgette, familyName, Bazalgette]
  • A. Parbold
    Parbold is a village in Lancashire, England, known for its scenic setting near the River Douglas and the Leeds and Liverpool Canal.
  • B. Baines
    Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
  • C. Benderloch
    Benderloch is a small coastal village in Argyll and Bute on Scotland’s west coast, known for its scenic setting near Loch Creran and the surrounding hills and beaches.
  • D. Petone
    Petone is a historic coastal suburb of Lower Hutt in the Wellington region of New Zealand, known for its early European settlement, industrial heritage, and popular waterfront.
  • E. Obertor
    Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Bazalgette
Triple: [Joseph Bazalgette, familyName, Bazalgette]
Generated description
Bazalgette is a surname most famously associated with Sir Joseph Bazalgette, the 19th-century civil engineer who designed London's modern sewer system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bazalgette
Target entity description: Bazalgette is a surname most famously associated with Sir Joseph Bazalgette, the 19th-century civil engineer who designed London's modern sewer system.
  • A. Parbold
    Parbold is a village in Lancashire, England, known for its scenic setting near the River Douglas and the Leeds and Liverpool Canal.
  • B. Baines
    Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
  • C. Benderloch
    Benderloch is a small coastal village in Argyll and Bute on Scotland’s west coast, known for its scenic setting near Loch Creran and the surrounding hills and beaches.
  • D. Petone
    Petone is a historic coastal suburb of Lower Hutt in the Wellington region of New Zealand, known for its early European settlement, industrial heritage, and popular waterfront.
  • E. Obertor
    Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
  • F. None of above. chosen

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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a64319481909926cebfdd47184d completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d7016908190bb7aadadacb5b50f completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42f3dd02c8190b40bc692c24b2ff4 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e4375eaf448190a17f8df1e83145e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.