Triple
T16967740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Air Cargo |
E411585
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | NC |
E200476
|
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: NC | Statement: [Northern Air Cargo, IATACode, NC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NC Context triple: [Northern Air Cargo, IATACode, NC]
-
A.
NC
NC is the standard abbreviation for the Navy Cross, the United States Navy and Marine Corps’ second-highest military decoration for valor in combat.
-
B.
NC
NC is a major political party in the Indian union territory of Jammu and Kashmir, historically influential in the region’s politics and autonomy movements.
-
C.
NC
chosen
NC is the two-letter ISO 3166-1 alpha-2 country code representing New Caledonia, a French territory in the South Pacific.
-
D.
North Carolina
North Carolina is a southeastern U.S. state known for its diverse geography from Atlantic beaches to the Appalachian Mountains, major cities like Charlotte and Raleigh, and a strong presence in finance, research, and higher education.
-
E.
Carolinas
The Carolinas are a region of the southeastern United States comprising the states of North Carolina and South Carolina.
- 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_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_6a00dc09386c819088bdb2548f3fb5c8 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.