Triple
T22923432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mon Valley |
E569226
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Duquesne |
—
|
NE NERFINISHED |
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: Duquesne | Statement: [Mon Valley, contains, Duquesne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duquesne Context triple: [Mon Valley, contains, Duquesne]
-
A.
Duquesne
Duquesne is a French noble family name historically associated with military and colonial leadership, notably in 18th-century New France.
-
B.
Duquesne
chosen
Duquesne is a small industrial city in Allegheny County, Pennsylvania, historically known for its steel production along the Monongahela River.
-
C.
Latrobe
Latrobe is a town in northern Tasmania, Australia, known for its historic streetscapes and proximity to the Mersey River.
-
D.
Latrobe
Latrobe is a surname most notably associated with Benjamin Henry Latrobe, a pioneering British-American architect often called the “father of American architecture.”
-
E.
Latrobe
Latrobe is a small city in Westmoreland County, Pennsylvania, known as the hometown of golfer Arnold Palmer and the birthplace of the banana split.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d7973c8190b09a5690fd1d3f28 |
completed | April 29, 2026, 3:53 a.m. |
Created at: April 17, 2026, 3:43 p.m.