Triple
T7473368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KMSP |
E176563
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object | Terminal 2–Humphrey |
E176566
|
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: Terminal 2–Humphrey | Statement: [KMSP, hasTerminal, Terminal 2–Humphrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 2–Humphrey Context triple: [KMSP, hasTerminal, Terminal 2–Humphrey]
-
A.
Terminal 2–Humphrey
chosen
Terminal 2–Humphrey is the smaller, primarily low-cost carrier terminal at Minneapolis–Saint Paul International Airport, serving airlines such as Southwest and Sun Country.
-
B.
Terminal 2B
Terminal 2B is one of the passenger terminals at Budapest Ferenc Liszt International Airport, primarily serving international flights and Schengen-area traffic.
-
C.
Terminal 2B
Terminal 2B is one of the passenger terminals at Paris Charles de Gaulle Airport, serving various international and European flights with check-in, boarding, and arrival facilities.
-
D.
Terminal 2B
Terminal 2B is one of the sub-terminals within Barcelona–El Prat Airport’s Terminal 2 complex, serving as a dedicated passenger area with its own gates and facilities.
-
E.
Terminal 2F
Terminal 2F is one of the passenger terminals at Paris Charles de Gaulle Airport, primarily serving international flights with dedicated check-in, security, and boarding facilities.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f416d018819098275cc51d8def3f |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c625a388190bfe9237568ab2005 |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:41 p.m.