Triple
T2123729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greene County, North Carolina |
E43982
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NC |
E22743
|
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: [Greene County, North Carolina, abbreviation, NC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NC Context triple: [Greene County, North Carolina, abbreviation, 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 the two-letter ISO 3166-1 alpha-2 country code representing New Caledonia, a French territory in the South Pacific.
-
C.
North Carolina
chosen
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.
-
D.
Carolinas
The Carolinas are a region of the southeastern United States comprising the states of North Carolina and South Carolina.
-
E.
Carolina
Carolina is a major municipality in Puerto Rico, known for its urban character, commercial centers, and proximity to San Juan.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb55cb2c8190aab8199da3335032 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae519bfdb08190a7b715fbc5fd3f41 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.