Triple
T13783797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Orono |
E331199
|
entity |
| Predicate | commemoratedBy |
P500
|
FINISHED |
| Object | town of Orono, Maine |
E65873
|
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: town of Orono, Maine | Statement: [Joseph Orono, commemoratedBy, town of Orono, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Orono, Maine Context triple: [Joseph Orono, commemoratedBy, town of Orono, Maine]
-
A.
Orono, Maine
chosen
Orono, Maine is a small town in Penobscot County best known as the home of the University of Maine’s flagship campus.
-
B.
Orrington, Maine
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.
-
C.
Farmington, Maine
Farmington, Maine is a small town in western Maine that serves as the service and cultural center of Franklin County and is home to the University of Maine at Farmington.
-
D.
Oxford, Maine
Oxford, Maine is a small town in Oxford County known for its rural character, outdoor recreation, and the Oxford Plains Speedway.
-
E.
Springfield, Maine
Springfield, Maine is a small rural town located in Penobscot County in eastern Maine, known for its forested landscape and quiet, sparsely populated setting.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0247ccc881908dad7b547221f15d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07b0b2881909b316e3cc67f1ec1 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.