Triple
T1051174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte, North Carolina |
E22700
|
entity |
| Predicate | nicknamed |
P744
|
FINISHED |
| Object |
The QC
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
|
E120860
|
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: The QC | Statement: [Charlotte, North Carolina, nicknamed, The QC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The QC Context triple: [Charlotte, North Carolina, nicknamed, The QC]
-
A.
QC
QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
-
B.
Squantum
Squantum is a coastal neighborhood of Quincy, Massachusetts, known for its residential character, waterfront views, and proximity to Boston.
-
C.
QF
QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
-
D.
Queensmen
Queensmen was the historic nickname used for Rutgers University's athletic teams, particularly its football program, before they became known as the Scarlet Knights.
-
E.
QUNO
QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
- 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: The QC Triple: [Charlotte, North Carolina, nicknamed, The QC]
Generated description
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The QC Target entity description: The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
-
A.
QC
QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
-
B.
Squantum
Squantum is a coastal neighborhood of Quincy, Massachusetts, known for its residential character, waterfront views, and proximity to Boston.
-
C.
QF
QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
-
D.
Queensmen
Queensmen was the historic nickname used for Rutgers University's athletic teams, particularly its football program, before they became known as the Scarlet Knights.
-
E.
QUNO
QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b40d50819091cb37a2236e82ee |
completed | March 1, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bcd3a4481908f7d9f13e3697fa9 |
completed | March 7, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69ac3c43baec819086ab5fce7f5b1137 |
completed | March 7, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3c9cc1ec819087df1f4c4efc5646 |
completed | March 7, 2026, 2:56 p.m. |
Created at: March 1, 2026, 7:42 p.m.