Triple
T9224349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Wayne International Airport |
E221642
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | FWA |
E40603
|
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: FWA | Statement: [Fort Wayne International Airport, IATAcode, FWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FWA Context triple: [Fort Wayne International Airport, IATAcode, FWA]
-
A.
FWA
chosen
FWA is the commonly used abbreviation for Fort Wayne Assembly, an automotive manufacturing facility located in Fort Wayne, Indiana.
-
B.
WFA
WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
-
C.
FW
FW refers to the Free Voters (Freie Wähler), a German political association and party known for its strong local-government focus and presence in Bavarian municipal and regional politics.
-
D.
FW
FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
-
E.
FWCA
FWCA is a U.S. federal law that requires consideration and coordination of fish and wildlife conservation in the planning and implementation of water resource development projects.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9c71c4819089dcc3689f322529 |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0664565748190a45cf382fca72cbe |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:28 p.m.