Triple

T6999075
Position Surface form Disambiguated ID Type / Status
Subject California Employment Development Department E162288 entity
Predicate hasShortName P1354 FINISHED
Object EDD
EDD is the California state agency responsible for administering unemployment insurance, disability insurance, paid family leave, and various workforce and labor market programs.
 E634536 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: EDD | Statement: [California Employment Development Department, hasShortName, EDD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EDD
Context triple: [California Employment Development Department, hasShortName, EDD]
  • A. EDDT
    EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • B. EDDI
    EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
  • C. EDDM
    EDDM is the ICAO airport code for Munich Airport, a major international aviation hub in Germany.
  • D. EDDV
    EDDV is the ICAO airport code for Hannover Airport, a major international airport serving the city of Hanover in northern Germany.
  • E. EDDH
    EDDH is the ICAO airport code for Hamburg Airport, a major international airport in northern Germany.
  • 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: EDD
Triple: [California Employment Development Department, hasShortName, EDD]
Generated description
EDD is the California state agency responsible for administering unemployment insurance, disability insurance, paid family leave, and various workforce and labor market programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EDD
Target entity description: EDD is the California state agency responsible for administering unemployment insurance, disability insurance, paid family leave, and various workforce and labor market programs.
  • A. EDDT
    EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • B. EDDI
    EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
  • C. EDDM
    EDDM is the ICAO airport code for Munich Airport, a major international aviation hub in Germany.
  • D. EDDV
    EDDV is the ICAO airport code for Hannover Airport, a major international airport serving the city of Hanover in northern Germany.
  • E. EDDH
    EDDH is the ICAO airport code for Hamburg Airport, a major international airport in northern Germany.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbf083b481909dd30e28e908dfdf completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a2c510c8190b7c86f8b399388ae completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b1d881481908ef5a6614246ca1e completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76be95ecc8190a57ff197f236d434 completed March 28, 2026, 5:49 a.m.
Created at: March 27, 2026, 2:33 p.m.