Triple
T18098455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Mobile |
E433149
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Mobile Regional Airport |
—
|
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: Mobile Regional Airport | Statement: [City of Mobile, hasAirport, Mobile Regional Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mobile Regional Airport Context triple: [City of Mobile, hasAirport, Mobile Regional Airport]
-
A.
Mobile Regional Airport
chosen
Mobile Regional Airport is a public airport serving commercial and general aviation traffic for the Mobile, Alabama metropolitan area.
-
B.
Mobile Airport Authority
Mobile Airport Authority is the public agency responsible for operating and managing the airport system serving the Mobile, Alabama area.
-
C.
Mobile Downtown Airport
Mobile Downtown Airport is a public airport serving the city of Mobile and the surrounding region in Alabama, primarily handling general aviation and some commercial and cargo operations.
-
D.
Airports of Regions
Airports of Regions is a Russian airport management company that operates and develops several regional airports across Russia.
-
E.
Flight Facilities
Flight Facilities is an Australian electronic music duo known for their smooth, retro-inspired dance tracks and collaborations with various vocalists.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb3ef548190a322f98917b54a59 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:27 a.m.