Triple
T8874525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferndale, Michigan |
E211238
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Ferndale |
E211238
|
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: Ferndale | Statement: [Ferndale, Michigan, hasNickname, Ferndale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferndale Context triple: [Ferndale, Michigan, hasNickname, Ferndale]
-
A.
Ferndale
Ferndale is a former coal-mining town and community located in the Rhondda Fach valley in south Wales.
-
B.
Ferndale
Ferndale is a small city in northwestern Washington State, known for its proximity to the Canadian border and the city of Bellingham.
-
C.
Ferndale, Michigan
chosen
Ferndale, Michigan is a small inner-ring Detroit suburb known for its vibrant downtown, progressive community, and active arts and LGBTQ+ scenes.
-
D.
Faunsdale
Faunsdale is a small town located in Marengo County in the state of Alabama, United States.
-
E.
Grosse Pointe
Grosse Pointe is a short-lived satirical television series created by Darren Star that parodies the behind-the-scenes drama of teen soap operas.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc614451d081908804430a72d00edf |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba149400819096cb93fdda440dcd |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:52 p.m.