Triple
T1053149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina |
E22743
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Wilmington |
E39070
|
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: Wilmington | Statement: [North Carolina, containsCity, Wilmington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilmington Context triple: [North Carolina, containsCity, Wilmington]
-
A.
Wilmington
chosen
Wilmington is a historic port city in southeastern North Carolina known for its riverfront, nearby Atlantic beaches, and well-preserved downtown district.
-
B.
Wilmington
Wilmington is a small settlement located within the Parish of St. Thomas in the East in eastern Jamaica.
-
C.
Wilmington
Wilmington is a suburban town in northeastern Massachusetts, United States, located within the Greater Boston area.
-
D.
Wilmington, Delaware
Wilmington, Delaware is the largest city in the state of Delaware and a major financial and corporate hub strategically located between Philadelphia and Baltimore.
-
E.
Salisbury, North Carolina
Salisbury, North Carolina is a historic city in the central Piedmont region known for its preserved downtown, cultural institutions, and role as the county seat of Rowan County.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b644088190a1f0f00f97941298 |
completed | March 1, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f0a15e48190a011c4aff5c285af |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:42 p.m.