Triple
T1732250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valley Rivers Middle School |
E37837
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Fort Kent, Maine |
E6034
|
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: Fort Kent, Maine | Statement: [Valley Rivers Middle School, servesArea, Fort Kent, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Kent, Maine Context triple: [Valley Rivers Middle School, servesArea, Fort Kent, Maine]
-
A.
Fort Kent, Maine
chosen
Fort Kent, Maine is a small town in northern Aroostook County known for its location at the Canadian border and as a gateway to the North Maine Woods.
-
B.
Stetson, Maine
Stetson, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
-
C.
Dixfield, Maine
Dixfield, Maine is a small New England town in western Maine known for its rural character and location along the Androscoggin River in Oxford County.
-
D.
Newburgh, Maine
Newburgh, Maine is a small rural town in central Maine known for its agricultural character and quiet residential community.
-
E.
Greenfield, Maine
Greenfield, Maine is a small rural town located in Penobscot 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa639edaf88190b64b2f630a53f67c |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb96d12481908f8d7d5c9f1f103f |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.