Triple
T10569831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland metropolitan area |
E249448
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Scarborough, Maine |
E368770
|
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: Scarborough, Maine | Statement: [Portland metropolitan area, containsTown, Scarborough, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scarborough, Maine Context triple: [Portland metropolitan area, containsTown, Scarborough, Maine]
-
A.
Scarborough, Maine
chosen
Scarborough, Maine is a coastal town in southern Maine known for its beaches, marshlands, and proximity to the city of Portland.
-
B.
Waterford, Maine
Waterford, Maine is a small rural town in Oxford County known for its lakes, forests, and traditional New England village character.
-
C.
Searsmont, Maine
Searsmont, Maine is a small rural town in Waldo County known for its forests, lakes, and traditional New England character.
-
D.
Ripley, Maine
Ripley, Maine is a small rural town located in Somerset County in central Maine.
-
E.
Sanford, Maine
Sanford, Maine is a city in York County known for its historic textile mill heritage and its location in southern Maine near the New Hampshire border.
- 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_69ff5f1f80648190a4a0e8260ac95194 |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 6, 2026, 12:37 p.m.