Triple
T7710173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concourse D |
E174727
|
entity |
| Predicate | hasIATACodeContext |
P2569
|
FINISHED |
| Object | ATL |
E166530
|
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: ATL | Statement: [Concourse D, hasIATACodeContext, ATL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATL Context triple: [Concourse D, hasIATACodeContext, ATL]
-
A.
ATL
chosen
ATL is the three-letter IATA airport code for Hartsfield–Jackson Atlanta International Airport, one of the world’s busiest air travel hubs located in Atlanta, Georgia.
-
B.
ATL
ATL is a 2006 coming-of-age drama film set in Atlanta’s hip-hop and skating scene, starring T.I. and directed by Chris Robinson in his feature film debut.
-
C.
Atlanta
Atlanta is the capital and largest city of the U.S. state of Georgia, known as a major cultural, economic, and transportation hub of the southeastern United States.
-
D.
KATL
KATL is the ICAO airport code for Hartsfield–Jackson Atlanta International Airport, one of the world's busiest passenger airports and a major hub in the United States.
-
E.
Downtown Atlanta
Downtown Atlanta is the central business district and urban core of Atlanta, Georgia, known for its high-rise skyline, major sports and entertainment venues, and cultural and educational institutions.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ad6b788190892b96ab523d111f |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8accc07f4819089a07726c8313839 |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:04 p.m.