Triple

T19125374
Position Surface form Disambiguated ID Type / Status
Subject Cressing, Essex, England E468162 entity
Predicate hasPostcodeArea P920 FINISHED
Object CM
CM is a postcode area in the United Kingdom covering Chelmsford and surrounding parts of Essex.
 E286818 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: CM | Statement: [Cressing, Essex, England, hasPostcodeArea, CM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CM
Context triple: [Cressing, Essex, England, hasPostcodeArea, CM]
  • A. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • B. CM
    CM is the commonly used abbreviation for the Committee of Ministers, the decision-making body of the Council of Europe composed of the foreign ministers of member states or their representatives.
  • C. CM
    CM is the stock ticker symbol for the Canadian Imperial Bank of Commerce, one of Canada's largest and oldest chartered banks.
  • D. CM
    CM is the vehicle registration code assigned to the city of Comrat in Moldova.
  • E. CM
    CM is the two-letter IATA airline designator assigned to Copa Airlines, the flag carrier of Panama.
  • 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: CM
Triple: [Cressing, Essex, England, hasPostcodeArea, CM]
Generated description
CM is a postcode area in the United Kingdom covering Chelmsford and surrounding parts of Essex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CM
Target entity description: CM is a postcode area in the United Kingdom covering Chelmsford and surrounding parts of Essex.
  • A. CM chosen
    CM is the postcode area in the United Kingdom that covers Chelmsford and surrounding parts of Essex.
  • B. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • C. CM
    CM is the vehicle registration code assigned to the city of Comrat in Moldova.
  • D. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • E. CM
    CM is the stock ticker symbol for the Canadian Imperial Bank of Commerce, one of Canada's largest and oldest chartered banks.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3cc5ba08190a1073f2836caf5d3 completed April 20, 2026, 8:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e67868a481909f419d68c2e5f6bb completed May 14, 2026, 3:12 p.m.
NEDg Description generation batch_6a05e74c4a248190b4e02f0c0d53f904 completed May 14, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_6a05e84cbbac8190aa3e935e67cac797 completed May 14, 2026, 3:20 p.m.
Created at: April 10, 2026, 12:05 p.m.