Triple

T3541788
Position Surface form Disambiguated ID Type / Status
Subject Lees Urban District E74901 entity
Predicate administered P86 FINISHED
Object Lees
Lees is a village in the Metropolitan Borough of Oldham, Greater Manchester, England, historically part of Lancashire.
E367416 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: Lees | Statement: [Lees Urban District, administered, Lees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lees
Context triple: [Lees Urban District, administered, Lees]
  • A. Leer
    Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
  • B. Leens
    Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
  • C. Leese
    Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
  • D. Lessi
    Lessi is a diminutive or affectionate nickname commonly used for the Italian given name Alessandro.
  • E. Lue
    Lue is a small rural village in New South Wales, Australia, known for its historic charm and surrounding wine and farming country.
  • 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: Lees
Triple: [Lees Urban District, administered, Lees]
Generated description
Lees is a village in the Metropolitan Borough of Oldham, Greater Manchester, England, historically part of Lancashire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lees
Target entity description: Lees is a village in the Metropolitan Borough of Oldham, Greater Manchester, England, historically part of Lancashire.
  • A. Leer
    Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
  • B. Leens
    Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
  • C. Leese
    Leese is an English surname most notably associated with British Army General Sir Oliver Leese, a senior commander during the Second World War.
  • D. Lessi
    Lessi is a diminutive or affectionate nickname commonly used for the Italian given name Alessandro.
  • E. Lue
    Lue is a small rural village in New South Wales, Australia, known for its historic charm and surrounding wine and farming country.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf73c5e881909a8352512928377b completed March 8, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bda9b848190a06b4b7113f97fc1 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c6dbfcc8190897d0c12e8ce4416 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38cf9d8188190adb91671d062a6f9 completed March 13, 2026, 4:05 a.m.
Created at: March 8, 2026, 3:20 p.m.