Triple
T13060120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majid Jordan |
E329173
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | King City |
E959005
|
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: King City | Statement: [Majid Jordan, notableSong, King City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King City Context triple: [Majid Jordan, notableSong, King City]
-
A.
King City
King City is a small community named after and located within the municipality of King in Ontario, Canada.
-
B.
King City
chosen
King City is a small agricultural city in Monterey County, California, located in the Salinas Valley along U.S. Route 101.
-
C.
The Royal City
The Royal City is the nickname of Guelph, a planned city in Ontario, Canada, known for its historic architecture, strong sense of community, and consistently high quality-of-life rankings.
-
D.
Shannon City
Shannon City is a small rural community in southern Iowa, United States.
-
E.
Square City
Square City is a walled, square-shaped fortress-like structure that serves as the main gate complex and defensive enclosure at the entrance to the Ming Xiaoling Mausoleum in Nanjing, China.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe259408190a7e88482c96f24a9 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.