Triple
T19641956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Terminal D |
E471560
|
entity |
| Predicate | IATAAirport |
P2569
|
FINISHED |
| Object | DFW |
—
|
NE NERFINISHED |
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: DFW | Statement: [International Terminal D, IATAAirport, DFW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DFW Context triple: [International Terminal D, IATAAirport, DFW]
-
A.
DFW
DFW is the commonly used abbreviation for the Massachusetts Division of Fisheries and Wildlife, the state agency responsible for conserving wildlife and managing fish and game resources.
-
B.
DFW
chosen
DFW is the IATA airport code for Dallas/Fort Worth International Airport, a major air travel hub serving the Dallas–Fort Worth metropolitan area in Texas.
-
C.
Dallas
Dallas is the early series of United States Supreme Court case reports compiled by Alexander J. Dallas, covering decisions from the late 18th century before the official U.S. Reports numbering began.
-
D.
Dallas
Dallas is a small city in Paulding County, Georgia, known for its historic downtown and location within the state's mineral-rich Georgia Gold Belt region.
-
E.
Dallas
Dallas is a character appearing in the "Home Invasion" storyline.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64122d9f48190961c4b460256f9e7 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.