Triple
T10569848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland metropolitan area |
E249448
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Gray, Maine |
E445354
|
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: Gray, Maine | Statement: [Portland metropolitan area, containsTown, Gray, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gray, Maine Context triple: [Portland metropolitan area, containsTown, Gray, Maine]
-
A.
Gray, Maine
chosen
Gray, Maine is a small New England town in southern Maine known for its rural character, proximity to Portland, and the Maine Wildlife Park.
-
B.
Hope, Maine
Hope, Maine is a small rural town in coastal Knox County known for its scenic lakes, rolling hills, and quiet New England character.
-
C.
Warren, Maine
Warren, Maine is a small town in Knox County known for its rural character and location along the St. George River in midcoast Maine.
-
D.
Rockland, Maine
Rockland, Maine is a coastal city in midcoast Maine known for its busy harbor, maritime industries, and role as a transportation and cultural hub for the region.
-
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 (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_69ffbe5eeba08190849171d079745d1a |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 6, 2026, 12:37 p.m.