Triple
T16967745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Air Cargo |
E411585
|
entity |
| Predicate | focusCity |
P164
|
FINISHED |
| Object |
Nome Airport
Nome Airport is a public airport in Nome, Alaska, serving as a key regional hub for passenger and cargo flights in western Alaska.
|
E1243251
|
NE FINISHED |
How this triple was built (4 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: Nome Airport | Statement: [Northern Air Cargo, focusCity, Nome Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nome Airport Context triple: [Northern Air Cargo, focusCity, Nome Airport]
-
A.
Mitiga International Airport
Mitiga International Airport is a major airport serving Tripoli, Libya, handling both domestic and international flights.
-
B.
Homiel Airport
Homiel Airport is a regional public airport serving the city of Gomel in southeastern Belarus, handling domestic and limited international flights.
-
C.
Frans Sales Lega Airport
Frans Sales Lega Airport is a regional airport serving the town of Ruteng on the island of Flores in East Nusa Tenggara, Indonesia.
-
D.
Corvo Airport
Corvo Airport is a small regional airport serving the remote island of Corvo in Portugal’s Azores archipelago.
-
E.
HEF Airport
HEF Airport is the regional public airport serving Manassas, Virginia, handling general aviation and some corporate and charter traffic for the Washington, D.C. metropolitan area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nome Airport Triple: [Northern Air Cargo, focusCity, Nome Airport]
Generated description
Nome Airport is a public airport in Nome, Alaska, serving as a key regional hub for passenger and cargo flights in western Alaska.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nome Airport Target entity description: Nome Airport is a public airport in Nome, Alaska, serving as a key regional hub for passenger and cargo flights in western Alaska.
-
A.
Mitiga International Airport
Mitiga International Airport is a major airport serving Tripoli, Libya, handling both domestic and international flights.
-
B.
Homiel Airport
Homiel Airport is a regional public airport serving the city of Gomel in southeastern Belarus, handling domestic and limited international flights.
-
C.
Frans Sales Lega Airport
Frans Sales Lega Airport is a regional airport serving the town of Ruteng on the island of Flores in East Nusa Tenggara, Indonesia.
-
D.
Corvo Airport
Corvo Airport is a small regional airport serving the remote island of Corvo in Portugal’s Azores archipelago.
-
E.
HEF Airport
HEF Airport is the regional public airport serving Manassas, Virginia, handling general aviation and some corporate and charter traffic for the Washington, D.C. metropolitan area.
- F. None of above. chosen
Provenance (5 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a6f628819080db47285954729a |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46f1d608190befe4dcbda086c03 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d619d0f88190904a8afdd02c6f54 |
completed | May 10, 2026, 7:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d67eb2a48190b57e394925181f70 |
completed | May 10, 2026, 7:03 p.m. |
Created at: April 10, 2026, 5:31 a.m.