Triple
T775046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Triangle |
E16368
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object | Franklin County |
E70539
|
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: Franklin County | Statement: [The Triangle, containsCounty, Franklin County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franklin County Context triple: [The Triangle, containsCounty, Franklin County]
-
A.
Franklin County
chosen
Franklin County is a largely rural county in northwestern Massachusetts known for its small towns, forests, and outdoor recreation along the Connecticut River.
-
B.
Marion County
Marion County is a county in northeastern Missouri known for including the historic Mississippi River city of Hannibal, boyhood home of author Mark Twain.
-
C.
Marion County
Marion County is an Indiana county that encompasses and is largely defined by the city of Indianapolis, the state’s capital and largest city.
-
D.
Marion County
Marion County is a rural county in west-central Georgia known for its small communities, agricultural landscape, and location along key east–west transportation routes.
-
E.
Greene County
Greene County is a rural county in southwestern Pennsylvania known for its Appalachian landscape, coal mining history, and small-town communities within the greater Pittsburgh region.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a73236288190b82d66202f2f7399 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce4e94688190bc29b4a1e26f6b93 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:37 p.m.