Triple
T3739709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Detroit |
E79668
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Royal Oak |
E21378
|
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: Royal Oak | Statement: [Metro Detroit, hasMajorCity, Royal Oak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royal Oak Context triple: [Metro Detroit, hasMajorCity, Royal Oak]
-
A.
Royal Oak, Michigan
chosen
Royal Oak, Michigan is a suburban city in the Detroit metropolitan area known for its vibrant downtown, cultural attractions, and residential neighborhoods.
-
B.
Aston
Aston is a small rural village located within the district of West Oxfordshire in Oxfordshire, England.
-
C.
Aston
Aston is a masculine given name of English origin, used both as a first name and a surname.
-
D.
Allen Park
Allen Park is a public recreational park located in Jamestown, New York.
-
E.
Dearborn
Dearborn is a city in the Detroit metropolitan area best known as the longtime headquarters of the Ford Motor Company and a historic center of the American automotive industry.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb5344fc8190b183aca5c04e3bcc |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db23ff3c81908d19295a7ce4a39c |
completed | March 14, 2026, 3:51 a.m. |
Created at: March 8, 2026, 3:34 p.m.