Triple
T13081109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 170 |
E310205
|
entity |
| Predicate | terminusB |
P388
|
FINISHED |
| Object | Kingman, Maine |
E1456072
|
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: Kingman, Maine | Statement: [Maine State Route 170, terminusB, Kingman, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingman, Maine Context triple: [Maine State Route 170, terminusB, Kingman, Maine]
-
A.
Kingman, Maine
chosen
Kingman, Maine is a small rural community in Penobscot County known for its remote, forested setting in eastern Maine.
-
B.
Thorndike, Maine
Thorndike, Maine is a small rural town located in Waldo County in the central part of the state.
-
C.
Knox, Maine
Knox, Maine is a small rural town located in Waldo County in the state of Maine, United States.
-
D.
Ellsworth, Maine
Ellsworth, Maine is a small city in Hancock County that serves as a commercial hub and gateway to the Downeast region and nearby Acadia National Park.
-
E.
Winslow, Maine
Winslow, Maine is a small town in Kennebec County known for its rural character, historic sites, and location along the Kennebec River in central Maine.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98119cb7081908b78ffe83ec99851 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09276e98588190ad3bdb9d04a19584 |
completed | May 17, 2026, 2:26 a.m. |
Created at: April 9, 2026, 9:01 p.m.