Triple
T15929955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Worth Alliance Airport |
E386297
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | AFW |
E1185005
|
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: AFW | Statement: [Fort Worth Alliance Airport, FAAcode, AFW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFW Context triple: [Fort Worth Alliance Airport, FAAcode, AFW]
-
A.
AFW
chosen
AFW is the IATA airport code for Fort Worth Alliance Airport, a major cargo and industrial aviation hub in Fort Worth, Texas.
-
B.
AFDW
AFDW is a U.S. Air Force command responsible for organizing, training, and equipping Air Force personnel in the National Capital Region and providing ceremonial and operational support to joint and Air Force missions there.
-
C.
AFS
AFS is the National Rail station code for Ashford (Surrey) railway station in England.
-
D.
AFU
AFU is the commonly used abbreviation for the Armed Forces of Ukraine, the military organization responsible for defending Ukraine’s sovereignty and territorial integrity.
-
E.
AfA
AfA is the abbreviation for the Arbeitsgemeinschaft für Arbeitnehmerfragen, a labor-oriented working group within Germany’s Social Democratic Party (SPD) that represents employees’ interests.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a45d088190b365f05161e7d409 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe727c348190907c9e7a5db6031d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.