Triple
T11648067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GFSZA |
E276826
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | GFSZA |
E276826
|
NE FINISHED |
How this triple was built (2 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: [GFSZA, hasAbbreviation, GFSZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GFSZA Context triple: [GFSZA, hasAbbreviation, GFSZA]
-
A.
GFSZA
chosen
GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
-
B.
GFS
GFS is a scalable, fault-tolerant distributed file system developed by Google to efficiently manage large data-intensive applications across many commodity servers.
-
C.
GZ
GZ is the vehicle registration code used on license plates for the district of Günzburg in Bavaria, Germany.
-
D.
FZAA
FZAA is the ICAO airport code for N’djili International Airport, the main international gateway serving Kinshasa in the Democratic Republic of the Congo.
-
E.
GFA
GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cd9bb0819093d107204bed2fe0 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87f903c48190b9055ad4cfebb1e1 |
completed | April 26, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:39 p.m.