Triple
T3975640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine Central Railroad |
E85633
|
entity |
| Predicate | servedCity |
P3936
|
FINISHED |
| Object | Waterville, Maine |
E386690
|
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: Waterville, Maine | Statement: [Maine Central Railroad, servedCity, Waterville, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterville, Maine Context triple: [Maine Central Railroad, servedCity, Waterville, Maine]
-
A.
Waterville, Maine
chosen
Waterville, Maine is a small city in central Maine known for hosting Colby College and its historic mill and riverfront downtown along the Kennebec River.
-
B.
Waterford, Maine
Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
-
C.
Sanford, Maine
Sanford, Maine is a city in York County known for its historic textile mill heritage and its location in southern Maine near the New Hampshire border.
-
D.
Porter, Maine
Porter, Maine is a small rural town in Oxford County known for its scenic setting near the New Hampshire border and its traditional New England character.
-
E.
Kennebunk, Maine
Kennebunk, Maine is a coastal New England town known for its historic charm, beaches, and popular summer tourism.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9b6d8008190822fceabe6542b3d |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343941ae481909489cf7a4abdba68 |
completed | April 18, 2026, 8:40 a.m. |
Created at: March 9, 2026, 3:33 p.m.