Triple
T10774476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George W. Scranton |
E254161
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Scranton |
E520232
|
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: Scranton | Statement: [George W. Scranton, familyName, Scranton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scranton Context triple: [George W. Scranton, familyName, Scranton]
-
A.
Scranton
chosen
Scranton is a historic industrial city in northeastern Pennsylvania known for its coal-mining heritage, railroads, and role as a cultural and economic center of the region.
-
B.
Wilkes-Barre
Wilkes-Barre is a small city in northeastern Pennsylvania known for its location along the Susquehanna River and its historical ties to coal mining and industry.
-
C.
Allentown
"Allentown" is a 1982 Billy Joel song that portrays the struggles of American industrial towns facing factory closures and economic decline.
-
D.
Allentown
Allentown is a major city in eastern Pennsylvania known for its industrial history and role within the Lehigh Valley metropolitan area.
-
E.
Harrisburg
Harrisburg is a small but growing city in southeastern South Dakota that functions largely as a residential suburb of nearby Sioux Falls.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7329be784819083b7ec4d85c20acf |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d448fac81909137b0a0ed9b976e |
completed | April 19, 2026, 1:17 a.m. |
Created at: April 8, 2026, 9:16 p.m.