Triple
T10552604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KMSY |
E248989
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object | North Terminal |
E248991
|
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: North Terminal | Statement: [KMSY, hasTerminal, North Terminal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Terminal Context triple: [KMSY, hasTerminal, North Terminal]
-
A.
North Terminal
North Terminal is one of the two main passenger terminals at London Gatwick Airport, handling a large share of the airport’s domestic and international flights.
-
B.
North Terminal
North Terminal is one of the passenger terminals at Ted Stevens Anchorage International Airport, primarily serving international and seasonal flights.
-
C.
North Terminal
North Terminal is one of the main passenger terminal complexes at Hartsfield–Jackson Atlanta International Airport, serving a large share of the airport’s airline check-in and departure operations.
-
D.
North Terminal
North Terminal is one of the main passenger terminals at Miami International Airport, serving numerous domestic and international flights with extensive airline and traveler facilities.
-
E.
North Terminal
chosen
North Terminal is the main modern passenger terminal complex at Louis Armstrong New Orleans International Airport, housing most airline operations and traveler amenities.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d5820c8190a1ad6d6551d093bb |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b3148dc81908720c27e58a325ab |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:34 p.m.