Triple
T10417486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knox County, Maine |
E245557
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Cushing, Maine |
E610848
|
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: Cushing, Maine | Statement: [Knox County, Maine, containsTown, Cushing, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cushing, Maine Context triple: [Knox County, Maine, containsTown, Cushing, Maine]
-
A.
Cushing, Maine
chosen
Cushing, Maine is a small coastal town in Knox County known for its scenic waterfront, rural character, and association with American realist painter Andrew Wyeth.
-
B.
Burnham, Maine
Burnham, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
-
C.
Howland, Maine
Howland, Maine is a small rural town in Penobscot County known for its location along the Penobscot and Piscataquis Rivers and its outdoor recreation opportunities.
-
D.
St. George, Maine
St. George, Maine is a small coastal town in the Midcoast region of Maine known for its fishing heritage, scenic peninsulas, and views of the Atlantic Ocean.
-
E.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea1194e08190a18c3b3002147493 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe729766008190803c1dfef2c8c872 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 6, 2026, 12:11 p.m.