Triple
T13433663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Flair |
E320173
|
entity |
| Predicate | billedFrom |
P24762
|
FINISHED |
| Object | The Queen City |
E125834
|
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: The Queen City | Statement: [Charlotte Flair, billedFrom, The Queen City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Queen City Context triple: [Charlotte Flair, billedFrom, The Queen City]
-
A.
The Queen City
The Queen City is a nickname for Plainfield, New Jersey, reflecting its historic prominence and once-elegant, prosperous character among regional cities.
-
B.
Queen City
chosen
Queen City is the popular nickname for Charlotte, North Carolina, a major financial and cultural hub in the southeastern United States.
-
C.
Queen City
Queen City is a popular nickname for Cincinnati, Ohio, highlighting its historic prominence and cultural importance in the region.
-
D.
Queen City
Queen City is the common nickname for Manchester, the largest city in New Hampshire and a historic center of industry and commerce in the state.
-
E.
Queen City
Queen City is a common nickname for Clarksville, Tennessee, reflecting its regional prominence and historic significance in the state.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398da07081908c3eca6fc4213930 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.