Triple
T10569833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland metropolitan area |
E249448
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Gorham, Maine |
E444585
|
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: Gorham, Maine | Statement: [Portland metropolitan area, containsTown, Gorham, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gorham, Maine Context triple: [Portland metropolitan area, containsTown, Gorham, Maine]
-
A.
Gorham, Maine
chosen
Gorham, Maine is a suburban town in southern Maine known for its residential communities, historic village center, and the presence of the University of Southern Maine’s Gorham campus.
-
B.
Burnham, Maine
Burnham, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
-
C.
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.
-
D.
Thorndike, Maine
Thorndike, Maine is a small rural town located in Waldo County in the central part of the state.
-
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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52730fd4481908b3f4eb80ca209f2 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff677935408190a28af4cd34d82aa4 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 6, 2026, 12:37 p.m.