Triple

T2539042
Position Surface form Disambiguated ID Type / Status
Subject Gun-Free School Zones Act of 1990 E56337 entity
Predicate citedAs P771 FINISHED
Object GFSZA
GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
E276826 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: GFSZA | Statement: [Gun-Free School Zones Act of 1990, citedAs, GFSZA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GFSZA
Context triple: [Gun-Free School Zones Act of 1990, citedAs, GFSZA]
  • A. ZSFG
    ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
  • B. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • C. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • D. Giez
    Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
  • E. ZGGG
    ZGGG is the ICAO airport code for Guangzhou Baiyun International Airport, a major aviation hub serving Guangzhou in southern China.
  • 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: GFSZA
Triple: [Gun-Free School Zones Act of 1990, citedAs, GFSZA]
Generated description
GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GFSZA
Target entity description: GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
  • A. ZSFG
    ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
  • B. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • C. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • D. Giez
    Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
  • E. ZGGG
    ZGGG is the ICAO airport code for Guangzhou Baiyun International Airport, a major aviation hub serving Guangzhou in southern China.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd29b44448190ba4f82b0c1425f21 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cfc54cc8190bb43b54f873ffa63 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5dd89fe48190a99b2bea591818cd completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e8583408190862ba4e13bf81cbd completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:47 p.m.