Triple
T10566802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 137 |
E249370
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Morrill, Maine |
E849010
|
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: Morrill, Maine | Statement: [Maine State Route 137, connects, Morrill, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morrill, Maine Context triple: [Maine State Route 137, connects, Morrill, Maine]
-
A.
Morrill, Maine
chosen
Morrill, Maine is a small rural town in Waldo County known for its quiet residential character and forested, hilly landscape in central coastal Maine.
-
B.
Van Buren, Maine
Van Buren, Maine is a small town in northern Maine along the Saint John River, directly across from New Brunswick, Canada, known for its French-Acadian heritage and rural character.
-
C.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
D.
Newfield, Maine
Newfield, Maine is a small rural town in southwestern Maine known for its forests, lakes, and historic village character.
-
E.
Thorndike, Maine
Thorndike, Maine is a small rural town located in Waldo County in the central part of the state.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ef5848190b76d671ea2d26314 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2189c1cc819080dc296b17e42374 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 6, 2026, 12:36 p.m.