Triple
T3163799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town, Maine |
E66161
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Bradley, Maine |
E95362
|
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: Bradley, Maine | Statement: [Old Town, Maine, adjacentTo, Bradley, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bradley, Maine Context triple: [Old Town, Maine, adjacentTo, Bradley, Maine]
-
A.
Bradley, Maine
chosen
Bradley, Maine is a small rural town in Penobscot County known for its forested landscape and proximity to the Penobscot River.
-
B.
Bradford, Maine
Bradford, Maine is a small rural town in central Maine known for its quiet, forested landscape and traditional New England character.
-
C.
Blaine, Maine
Blaine, Maine is a small rural town located in northeastern Maine near the Canadian border, within Aroostook County’s agricultural region.
-
D.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
E.
Baldwin, Maine
Baldwin, Maine is a small rural town in Cumberland County known for its scenic landscapes and proximity to the western Maine 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61ba98881909106951c8ceeb959 |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd336af7c48190956add895fff9c21 |
completed | April 1, 2026, 3:02 p.m. |
Created at: March 8, 2026, 3:06 p.m.