Triple
T4367948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holden, Maine |
E98823
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Orrington, Maine |
E134931
|
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: Orrington, Maine | Statement: [Holden, Maine, adjacentTo, Orrington, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orrington, Maine Context triple: [Holden, Maine, adjacentTo, Orrington, Maine]
-
A.
Orrington, Maine
chosen
Orrington, Maine is a small town in Penobscot County known for its rural character and proximity to the Penobscot River and the city of Bangor.
-
B.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
C.
Winthrop, Maine
Winthrop, Maine is a small New England town known for its lakes, outdoor recreation, and residential community west of Augusta.
-
D.
Orono, Maine
Orono, Maine is a small town in Penobscot County best known as the home of the University of Maine’s flagship campus.
-
E.
Hallowell, Maine
Hallowell, Maine is a small historic city on the Kennebec River known for its preserved 19th-century architecture, arts scene, and role in central Maine’s commercial and cultural life.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352034d3881909ed4b2f9eef5e823 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f018324bf88190bcd2bf168b1065d3 |
completed | April 28, 2026, 2:15 a.m. |
Created at: March 12, 2026, 11:17 p.m.