Triple
T2361229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norway, Maine |
E47275
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Paris, Maine |
E45438
|
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: Paris, Maine | Statement: [Norway, Maine, adjacentTo, Paris, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris, Maine Context triple: [Norway, Maine, adjacentTo, Paris, Maine]
-
A.
Paris, Maine
chosen
Paris, Maine is a small town in western Maine that serves as the administrative and commercial center of Oxford County.
-
B.
Springfield, Maine
Springfield, Maine is a small rural town located in Penobscot County in eastern Maine, known for its forested landscape and quiet, sparsely populated setting.
-
C.
Cambridge, Maine
Cambridge, Maine is a small rural town in central Maine known for its quiet, forested landscape and location within Somerset County.
-
D.
Farmington, Maine
Farmington, Maine is a small town in western Maine that serves as the service and cultural center of Franklin County and is home to the University of Maine at Farmington.
-
E.
Madison, Maine
Madison, Maine is a small town in central Maine known for its rural character, historic mill industry, and location along the Kennebec River.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc723c66481908a9b94991f651b3b |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3c37c448190b2d1fd5c404e0050 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:55 p.m.