Triple

T19293905
Position Surface form Disambiguated ID Type / Status
Subject Selhurst E482510 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Norwood
Norwood is a district in south London, England, known for its residential character and proximity to areas like Selhurst and Crystal Palace.
 E1373294 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: Norwood | Statement: [Selhurst, hasNeighbourhood, Norwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Norwood
Context triple: [Selhurst, hasNeighbourhood, Norwood]
  • A. Norwood
    Norwood is the surname of American singer, songwriter, and actress Brandy, known for her influential R&B music career and roles in film and television.
  • B. Norwood
    Norwood is a residential neighborhood in the Bronx, New York City, known for its diverse community and proximity to Van Cortlandt Park.
  • C. Norwood
    Norwood is a small town located in Stanly County in the U.S. state of North Carolina.
  • D. Norwood
    Norwood is a small village located within Charlevoix County in the U.S. state of Michigan.
  • E. Norwood
    Norwood is a comic novel by Charles Portis that follows a naive ex-Marine on a quirky, picaresque journey across the American South.
  • 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: Norwood
Triple: [Selhurst, hasNeighbourhood, Norwood]
Generated description
Norwood is a district in south London, England, known for its residential character and proximity to areas like Selhurst and Crystal Palace.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Norwood
Target entity description: Norwood is a district in south London, England, known for its residential character and proximity to areas like Selhurst and Crystal Palace.
  • A. Norwood
    Norwood is a residential neighborhood in the Bronx, New York City, known for its diverse community and proximity to Van Cortlandt Park.
  • B. Norwood
    Norwood is a locality in South Africa situated near the town of Houghton, known primarily as a residential suburb.
  • C. Norwood
    Norwood is a small settlement located within the Clackmannanshire council area in central Scotland.
  • D. Norwood
    Norwood is a small town located in Stanly County in the U.S. state of North Carolina.
  • E. Norwood
    Norwood is a small village located within Charlevoix County in the U.S. state of Michigan.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc84500c81908ac53711335ad2d9 completed April 20, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a072b6fbed48190a19e8af9934dab1b completed May 15, 2026, 2:19 p.m.
NEDg Description generation batch_6a072db228448190b299b24da15c3a0b completed May 15, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_6a072ea5e0208190ad833ecd45f80559 completed May 15, 2026, 2:33 p.m.
Created at: April 10, 2026, 1:31 p.m.