Triple
T5754916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larksville, Pennsylvania |
E126941
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Larksville |
E481157
|
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: Larksville | Statement: [Larksville, Pennsylvania, hasName, Larksville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larksville Context triple: [Larksville, Pennsylvania, hasName, Larksville]
-
A.
Larksville
chosen
Larksville is a small borough in northeastern Pennsylvania, United States, situated within the Wyoming Valley near the city of Wilkes-Barre.
-
B.
Slatersville
Slatersville is a historic village in North Smithfield, Rhode Island, known as one of America’s first planned mill villages centered around early textile manufacturing.
-
C.
Yatesville
Yatesville is a small town located in the U.S. state of Georgia.
-
D.
Millerton
Millerton is a small hamlet and village in Dutchess County, New York, known for its rural charm and proximity to the Taconic State Park and the Harlem Valley.
-
E.
Stewarttown
Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02904dcf481909e4340a64ee1034e |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e434aa88190b56e721c002d31b8 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:49 p.m.