Triple
T10449693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 136 |
E246385
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | southern Maine |
E48893
|
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: southern Maine | Statement: [Maine State Route 136, regionServed, southern Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: southern Maine Context triple: [Maine State Route 136, regionServed, southern Maine]
-
A.
Southern Maine
chosen
Southern Maine is the coastal and largely rural southern portion of the U.S. state of Maine, encompassing its most populous cities and economic centers.
-
B.
eastern Maine
Eastern Maine is a largely rural region of the state of Maine centered around the city of Bangor, which serves as its primary economic and cultural hub.
-
C.
Midcoast Maine
Midcoast Maine is a scenic coastal region of Maine known for its rocky shoreline, historic harbor towns, and maritime heritage.
-
D.
Northern Maine
Northern Maine is a sparsely populated, heavily forested region of the state known for its potato farming, outdoor recreation, and long, harsh winters.
-
E.
western Maine
Western Maine is a largely rural, mountainous region of Maine known for its forests, lakes, and outdoor recreation areas, including parts of the Appalachian Mountains.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe09af04819083db42f4de4cb0a9 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87efedf6c8190aa4b7bbe5f160eeb |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:17 p.m.