Triple

T13656725
Position Surface form Disambiguated ID Type / Status
Subject Shirley E326879 entity
Predicate hasPostcodeDistrict P961 FINISHED
Object CR0
CR0 is the main postcode district covering central and surrounding areas of Croydon in South London, England.
 E1052922 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: CR0 | Statement: [Shirley, hasPostcodeDistrict, CR0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CR0
Context triple: [Shirley, hasPostcodeDistrict, CR0]
  • A. CRK
    CRK is the IATA airport code for Clark International Airport, a major aviation hub located in Pampanga, Philippines.
  • B. CRK
    CRK is the National Rail station code for Chirk railway station in Wrexham, Wales.
  • C. CRUI
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • D. COR
    COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
  • E. CRD
    CRD is a centralized online database maintained by FINRA that contains licensing and registration information on broker-dealers and their associated individuals in the U.S. financial industry.
  • 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: CR0
Triple: [Shirley, hasPostcodeDistrict, CR0]
Generated description
CR0 is the main postcode district covering central and surrounding areas of Croydon in South London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CR0
Target entity description: CR0 is the main postcode district covering central and surrounding areas of Croydon in South London, England.
  • A. CRK
    CRK is the National Rail station code for Chirk railway station in Wrexham, Wales.
  • B. CRK
    CRK is the IATA airport code for Clark International Airport, a major aviation hub located in Pampanga, Philippines.
  • C. CRUI
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • D. COR
    COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
  • E. CRD
    CRD is a centralized online database maintained by FINRA that contains licensing and registration information on broker-dealers and their associated individuals in the U.S. financial industry.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61d56e4819084ae3c16ecdf4a05 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b03083c8190855a2a4ee44e4098 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78c0030e481909c20f21ddaa480dc completed May 3, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69f78d6d74bc8190ad5476a06e8fd8ad completed May 3, 2026, 6:01 p.m.
Created at: April 9, 2026, 9:52 p.m.