Triple
T18304025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penobscot River watershed |
E438434
|
entity |
| Predicate | includesTown |
P847
|
FINISHED |
| Object | Orrington |
—
|
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: Orrington | Statement: [Penobscot River watershed, includesTown, Orrington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orrington Context triple: [Penobscot River watershed, includesTown, Orrington]
-
A.
Orrington, Maine
chosen
Orrington, Maine is a small town in Penobscot County known for its rural character and proximity to the Penobscot River and the city of Bangor.
-
B.
Kingston, New Hampshire
Kingston, New Hampshire is a small historic town in southeastern New Hampshire known for its colonial-era architecture and traditional New England character.
-
C.
Rumney
Rumney is a district in the eastern part of Cardiff, Wales, situated near the mouth of the Rhymney River.
-
D.
Tuftonboro
Tuftonboro is a small rural town in Carroll County, New Hampshire, known for its scenic setting along the shores of Lake Winnipesaukee.
-
E.
Mapleton, Maine
Mapleton, Maine is a small rural town in northern Maine known for its agricultural landscape and location within Aroostook County.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5018256508190b024980e3a4a3ae9 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.