Triple
T12585875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Warren |
E300458
|
entity |
| Predicate | honouredIn |
P4717
|
FINISHED |
| Object | Warren, 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: Warren, Maine | Statement: [Joseph Warren, honouredIn, Warren, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren, Maine Context triple: [Joseph Warren, honouredIn, Warren, Maine]
-
A.
Warren, Maine
chosen
Warren, Maine is a small town in Knox County known for its rural character and location along the St. George River in midcoast Maine.
-
B.
Gray, Maine
Gray, Maine is a small New England town in southern Maine known for its rural character, proximity to Portland, and the Maine Wildlife Park.
-
C.
Hampden, Maine
Hampden, Maine is a small town in Penobscot County known as the birthplace of 19th-century social reformer Dorothea Dix.
-
D.
Clinton, Maine
Clinton, Maine is a small rural town in central Maine known for its agricultural character and location along the Sebasticook River.
-
E.
Mercer, Maine
Mercer, Maine is a small rural town located in Somerset 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 (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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 9, 2026, 5:04 p.m.