Triple

T3646632
Position Surface form Disambiguated ID Type / Status
Subject Queen Street (City of London) E77316 entity
Predicate hasPostcodeArea P920 FINISHED
Object EC
EC is a central London postcode area covering much of the historic City of London and parts of the surrounding financial district.
E375865 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: EC | Statement: [Queen Street (City of London), hasPostcodeArea, EC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EC
Context triple: [Queen Street (City of London), hasPostcodeArea, EC]
  • A. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • B. EC
    EC is the commonly used abbreviation for the World Meteorological Organization’s Executive Council, its principal governing body responsible for coordinating international meteorological activities and policies.
  • C. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • D. CE
    CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
  • E. CE
    CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
  • 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: EC
Triple: [Queen Street (City of London), hasPostcodeArea, EC]
Generated description
EC is a central London postcode area covering much of the historic City of London and parts of the surrounding financial district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EC
Target entity description: EC is a central London postcode area covering much of the historic City of London and parts of the surrounding financial district.
  • A. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • B. EC
    EC is the commonly used abbreviation for the World Meteorological Organization’s Executive Council, its principal governing body responsible for coordinating international meteorological activities and policies.
  • C. CE
    CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
  • D. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • E. CE
    CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3895198819090a17a8894e91d00 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f394f9c8190881edc18b544dbb7 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b45347e364819080c0dac755405462 completed March 13, 2026, 6:11 p.m.
NED2 Entity disambiguation (via description) batch_69b45f4640e881909b0e3b68cb899669 completed March 13, 2026, 7:02 p.m.
Created at: March 8, 2026, 3:24 p.m.