Triple

T9033182
Position Surface form Disambiguated ID Type / Status
Subject Florida's 2nd congressional district E216422 entity
Predicate hasAbbreviation P43 FINISHED
Object FL-2
FL-2 is the abbreviation for Florida's 2nd congressional district, a U.S. House of Representatives district covering part of the Florida Panhandle.
 E772461 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: FL-2 | Statement: [Florida's 2nd congressional district, hasAbbreviation, FL-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FL-2
Context triple: [Florida's 2nd congressional district, hasAbbreviation, FL-2]
  • A. F-2
    F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
  • B. FR-42
    FR-42 is the ISO 3166-2 code designating the Loire department in central-eastern France.
  • C. FuG 220
    FuG 220 was a German World War II airborne radar system used primarily by night fighters to detect and intercept enemy aircraft.
  • D. FLG
    FLG is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • E. FL 43
    FL 43 is a Florida state highway designation for a segment of State Road 43, a north–south route serving parts of the state’s interior.
  • 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: FL-2
Triple: [Florida's 2nd congressional district, hasAbbreviation, FL-2]
Generated description
FL-2 is the abbreviation for Florida's 2nd congressional district, a U.S. House of Representatives district covering part of the Florida Panhandle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FL-2
Target entity description: FL-2 is the abbreviation for Florida's 2nd congressional district, a U.S. House of Representatives district covering part of the Florida Panhandle.
  • A. F-2
    F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
  • B. FR-42
    FR-42 is the ISO 3166-2 code designating the Loire department in central-eastern France.
  • C. FuG 220
    FuG 220 was a German World War II airborne radar system used primarily by night fighters to detect and intercept enemy aircraft.
  • D. FLG
    FLG is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • E. FL 43
    FL 43 is a Florida state highway designation for a segment of State Road 43, a north–south route serving parts of the state’s interior.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6aa0c89c81909792190f08fef8df completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc9c6e08190aa71d84316afc6d5 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdcb95b508190b9d5562f4248e074 completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd3293888190a9cd5e0621c2fe10 completed April 3, 2026, 3:30 p.m.
Created at: March 30, 2026, 7:08 p.m.