Triple

T15169185
Position Surface form Disambiguated ID Type / Status
Subject Gipsy Hill E362439 entity
Predicate postcodeDistrict P222 FINISHED
Object SE27
SE27 is a postcode district in the London Borough of Lambeth, covering areas such as West Norwood and parts of Gipsy Hill in south London.
E1142494 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: SE27 | Statement: [Gipsy Hill, postcodeDistrict, SE27]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SE27
Context triple: [Gipsy Hill, postcodeDistrict, SE27]
  • A. ME 27
    ME 27 is a state highway in Maine that runs north–south, connecting coastal and central regions with the Canadian border.
  • B. Sema
    Sema is a Russian diminutive form of the male given name Semyon.
  • C. E-27
    E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
  • D. SECA
    SECA refers to designated maritime zones where strict limits are imposed on the sulfur content of ship fuel to reduce air pollution and protect human health and the environment.
  • E. SE19
    SE19 is a London postal district covering parts of Upper Norwood and surrounding areas in south-east London.
  • 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: SE27
Triple: [Gipsy Hill, postcodeDistrict, SE27]
Generated description
SE27 is a postcode district in the London Borough of Lambeth, covering areas such as West Norwood and parts of Gipsy Hill in south London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SE27
Target entity description: SE27 is a postcode district in the London Borough of Lambeth, covering areas such as West Norwood and parts of Gipsy Hill in south London.
  • A. ME 27
    ME 27 is a state highway in Maine that runs north–south, connecting coastal and central regions with the Canadian border.
  • B. Sema
    Sema is a Russian diminutive form of the male given name Semyon.
  • C. E-27
    E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
  • D. SECA
    SECA refers to designated maritime zones where strict limits are imposed on the sulfur content of ship fuel to reduce air pollution and protect human health and the environment.
  • E. SE19
    SE19 is a London postal district covering parts of Upper Norwood and surrounding areas in south-east London.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064dba588190a4341775b472a6d3 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec889c3408190bdfc75ce72dd5a62 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec93109c08190a3499e4520e31604 completed May 9, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_69fecc6fa8f88190aa6956e6e2b1f8ab completed May 9, 2026, 5:55 a.m.
Created at: April 10, 2026, 3:08 a.m.