Triple
T2133257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rangeley Plantation, Maine |
E46590
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Rangeley, Maine |
E57195
|
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: Rangeley, Maine | Statement: [Rangeley Plantation, Maine, adjacentTo, Rangeley, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rangeley, Maine Context triple: [Rangeley Plantation, Maine, adjacentTo, Rangeley, Maine]
-
A.
Rangeley, Maine
chosen
Rangeley, Maine is a small resort town in western Maine known for its lakes, outdoor recreation, and scenic mountain surroundings.
-
B.
Passadumkeag, Maine
Passadumkeag, Maine is a small rural town in Penobscot County known for its location along the Penobscot River in eastern Maine.
-
C.
Norridgewock, Maine
Norridgewock, Maine is a small town in central Maine known for its rural character, historic ties to early Native American and colonial settlements, and location along the Kennebec River.
-
D.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
E.
Shapleigh, Maine
Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbba0c42c8190ab3ce4bbf1531ee1 |
completed | March 7, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c124d359ec819086420b7e00b8d630 |
completed | March 23, 2026, 11:32 a.m. |
Created at: March 4, 2026, 7:44 p.m.