Triple
T9332195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennebunkport |
E224549
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Kennebunk |
E368403
|
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: Kennebunk | Statement: [Kennebunkport, adjacentTo, Kennebunk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kennebunk Context triple: [Kennebunkport, adjacentTo, Kennebunk]
-
A.
Kennebunkport
Kennebunkport is a coastal resort town in southern Maine known for its historic charm, beaches, and long association with the Bush family.
-
B.
Kennebunk, Maine
chosen
Kennebunk, Maine is a coastal New England town known for its historic charm, beaches, and popular summer tourism.
-
C.
Waterville, Maine
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.
-
D.
Biddeford, Maine
Biddeford, Maine is a historic mill city in York County known for its revitalized downtown along the Saco River and its role as a regional economic and educational center.
-
E.
Kittery, Maine
Kittery, Maine is a historic coastal town at the southern tip of the state, known for its naval shipyard and outlet shopping district.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37afceb88190ad7ffbc7b47a1caa |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff74d59f88190bbd975521b16ae49 |
completed | April 15, 2026, 8:38 p.m. |
Created at: March 30, 2026, 7:39 p.m.