Triple

T1953123
Position Surface form Disambiguated ID Type / Status
Subject Court of Appeal of England and Wales E42202 entity
Predicate abbreviation P43 FINISHED
Object EWCA
EWCA is the standard legal abbreviation used to cite decisions of the Court of Appeal of England and Wales.
 E219223 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: EWCA | Statement: [Court of Appeal of England and Wales, abbreviation, EWCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EWCA
Context triple: [Court of Appeal of England and Wales, abbreviation, EWCA]
  • A. WECA
    WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
  • B. ECA
    The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
  • C. ECA
    ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
  • D. ECA
    The ECA is the European Union institution responsible for auditing the EU’s finances and ensuring that its budget is correctly implemented.
  • E. CWA
    CWA is a major U.S. environmental law that regulates the discharge of pollutants into the nation’s waters and sets water quality standards.
  • 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: EWCA
Triple: [Court of Appeal of England and Wales, abbreviation, EWCA]
Generated description
EWCA is the standard legal abbreviation used to cite decisions of the Court of Appeal of England and Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EWCA
Target entity description: EWCA is the standard legal abbreviation used to cite decisions of the Court of Appeal of England and Wales.
  • A. WECA
    WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
  • B. ECA
    The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
  • C. ECA
    ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
  • D. ECA
    The ECA is the European Union institution responsible for auditing the EU’s finances and ensuring that its budget is correctly implemented.
  • E. CWA
    CWA is a major U.S. environmental law that regulates the discharge of pollutants into the nation’s waters and sets water quality standards.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3501d108190bc5cb23f53db4411 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc611fc8190b2f512c744cbc364 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc8efb0c81908bce5a4a13359801 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd8115d481909716e11b943cbf61 completed March 8, 2026, 10:51 p.m.
Created at: March 4, 2026, 7:36 p.m.