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.