Triple

T10900168
Position Surface form Disambiguated ID Type / Status
Subject WC postcode area E257416 entity
Predicate hasPostcodeDistrict P961 FINISHED
Object WC2E
WC2E is a central London postcode district covering parts of Covent Garden and the surrounding West End area.
E638351 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: WC2E | Statement: [WC postcode area, hasPostcodeDistrict, WC2E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WC2E
Context triple: [WC postcode area, hasPostcodeDistrict, WC2E]
  • A. WC2
    WC2 is a central London postcode district covering parts of Holborn, Covent Garden, and the surrounding West End area.
  • B. WC
    WC is an American West Coast rapper known for his distinctive gravelly voice, solo work, and as a member of the hip hop supergroup Westside Connection.
  • C. WC
    WC is the standard abbreviation for Western Command, a regional military command formation.
  • D. WiN
    WiN was a Polish anti-communist underground organization formed after World War II to resist Soviet domination and the communist regime in Poland.
  • E. WCON
    WCON is the informal station code used to refer to West Concord station, a commuter rail stop in Concord, Massachusetts.
  • 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: WC2E
Triple: [WC postcode area, hasPostcodeDistrict, WC2E]
Generated description
WC2E is a central London postcode district covering parts of Covent Garden and the surrounding West End area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WC2E
Target entity description: WC2E is a central London postcode district covering parts of Covent Garden and the surrounding West End area.
  • A. WC2 chosen
    WC2 is a central London postcode district covering parts of Holborn, Covent Garden, and the surrounding West End area.
  • B. WC
    WC is an American West Coast rapper known for his distinctive gravelly voice, solo work, and as a member of the hip hop supergroup Westside Connection.
  • C. WC
    WC is the standard abbreviation for Western Command, a regional military command formation.
  • D. WiN
    WiN was a Polish anti-communist underground organization formed after World War II to resist Soviet domination and the communist regime in Poland.
  • E. WCON
    WCON is the informal station code used to refer to West Concord station, a commuter rail stop in Concord, Massachusetts.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a2f02881908b70be6499dd8d98 completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155306e9081909433522eeecf2b7d completed April 16, 2026, 9:31 p.m.
NEDg Description generation batch_69e174d962ec8190a0ef8442e3414a8d completed April 16, 2026, 11:46 p.m.
NED2 Entity disambiguation (via description) batch_69e1777c0a308190bb5dc5e64cb51af3 completed April 16, 2026, 11:57 p.m.
Created at: April 8, 2026, 9:22 p.m.