Triple

T2147952
Position Surface form Disambiguated ID Type / Status
Subject Eton, Berkshire E47111 entity
Predicate hasPostcodeArea P920 FINISHED
Object SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
 E238932 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: SL | Statement: [Eton, Berkshire, hasPostcodeArea, SL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SL
Context triple: [Eton, Berkshire, hasPostcodeArea, SL]
  • A. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • B. SL
    SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • C. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • D. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • E. .sl
    .sl is the country code top-level domain (ccTLD) assigned to Sierra Leone for use in internet addresses.
  • 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: SL
Triple: [Eton, Berkshire, hasPostcodeArea, SL]
Generated description
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SL
Target entity description: SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
  • A. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • B. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • C. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • D. SL
    SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • E. .sl
    .sl is the country code top-level domain (ccTLD) assigned to Sierra Leone for use in internet addresses.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe271adc8190888c9086e9b8cc0c completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d9c52081909f6acb0558369310 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae59892b848190a9cc8b086647ff14 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a02404c819088acf7c592cb2cae completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:44 p.m.