Triple

T10829674
Position Surface form Disambiguated ID Type / Status
Subject EC postcode area E255583 entity
Predicate containsPostcodeDistrict P32592 FINISHED
Object EC4Y
EC4Y is a central London postcode district covering part of the City of London and nearby areas, including sections of the legal and financial districts.
 E373113 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: EC4Y | Statement: [EC postcode area, containsPostcodeDistrict, EC4Y]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EC4Y
Context triple: [EC postcode area, containsPostcodeDistrict, EC4Y]
  • A. EC4
    EC4 is a central London postcode district covering parts of the City of London, including key financial and commercial areas around Cannon Street and St Paul’s.
  • B. EYKA
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • C. E45
    E45 is a major north–south European route that runs from northern Scandinavia through central Europe down to Italy, connecting multiple countries along its corridor.
  • D. EYD
    EYD is the commonly used abbreviation for "Ejaan Yang Disempurnakan," the standardized Indonesian spelling system officially adopted in Indonesia.
  • E. ECGYE
    ECGYE is the port code identifying the Port of Guayaquil, a major maritime gateway in Ecuador for international trade and shipping.
  • 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: EC4Y
Triple: [EC postcode area, containsPostcodeDistrict, EC4Y]
Generated description
EC4Y is a central London postcode district covering part of the City of London and nearby areas, including sections of the legal and financial districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EC4Y
Target entity description: EC4Y is a central London postcode district covering part of the City of London and nearby areas, including sections of the legal and financial districts.
  • A. EC4 chosen
    EC4 is a central London postcode district covering parts of the City of London, including key financial and commercial areas around Cannon Street and St Paul’s.
  • B. EYKA
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • C. E45
    E45 is a major north–south European route that runs from northern Scandinavia through central Europe down to Italy, connecting multiple countries along its corridor.
  • D. EYD
    EYD is the commonly used abbreviation for "Ejaan Yang Disempurnakan," the standardized Indonesian spelling system officially adopted in Indonesia.
  • E. ECGYE
    ECGYE is the port code identifying the Port of Guayaquil, a major maritime gateway in Ecuador for international trade and shipping.
  • F. None of above.

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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d74420fa188190b5b3c59e1a9f551d completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69de85a068b08190948c3ca32cdda147 completed April 14, 2026, 6:21 p.m.
NEDg Description generation batch_69de8956d9f081909d076c5e413c1f74 completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8e80fe80819088ac76bb5abc58f0 completed April 14, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:19 p.m.