Triple
T10569857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland metropolitan area |
E249448
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Hollis, Maine |
E527035
|
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: Hollis, Maine | Statement: [Portland metropolitan area, containsTown, Hollis, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hollis, Maine Context triple: [Portland metropolitan area, containsTown, Hollis, Maine]
-
A.
Hollis, Maine
chosen
Hollis, Maine is a small rural town in southern Maine known for its residential character and location along the Saco River in York County.
-
B.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
C.
Burnham, Maine
Burnham, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
-
D.
Shapleigh, Maine
Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
-
E.
Hallowell, Maine
Hallowell, Maine is a small historic city on the Kennebec River known for its preserved 19th-century architecture, arts scene, and role in central Maine’s commercial and cultural life.
- 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_69fffee0ff948190911c02f6e50ea2bc |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 6, 2026, 12:37 p.m.