Triple
T15088833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin County, Maine |
E360357
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | New Sharon, Maine |
E15182
|
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: New Sharon, Maine | Statement: [Franklin County, Maine, contains, New Sharon, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Sharon, Maine Context triple: [Franklin County, Maine, contains, New Sharon, Maine]
-
A.
New Sharon, Maine
chosen
New Sharon, Maine is a small rural town in Franklin County known for its location along the Sandy River in central Maine.
-
B.
Shapleigh, Maine
Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
-
C.
Newfield, Maine
Newfield, Maine is a small rural town in southwestern Maine known for its forests, lakes, and historic village character.
-
D.
Westfield, Maine
Westfield, Maine is a small rural town located in northern Maine within Aroostook County.
-
E.
Greenwood, Maine
Greenwood, Maine is a small rural town in Oxford County known for its scenic lakes, forests, and outdoor recreation in western Maine.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00277ea808190be3f002a8316eff1 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1ba4208190b1e8c55668a1b422 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.