Triple
T14975092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isles of Shoals |
E373423
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kittery, Maine |
—
|
NE NERFINISHED |
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: Kittery, Maine | Statement: [Isles of Shoals, locatedNear, Kittery, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kittery, Maine Context triple: [Isles of Shoals, locatedNear, Kittery, Maine]
-
A.
Kittery, Maine
chosen
Kittery, Maine is a historic coastal town at the southern tip of the state, known for its naval shipyard and outlet shopping district.
-
B.
Kennebunk, Maine
Kennebunk, Maine is a coastal New England town known for its historic charm, beaches, and popular summer tourism.
-
C.
Searsport, Maine
Searsport, Maine is a small coastal town in New England known for its historic deep-water port and maritime heritage.
-
D.
Knox, Maine
Knox, Maine is a small rural town located in Waldo County in the state of Maine, United States.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
Created at: April 10, 2026, 2:51 a.m.