Triple
T536555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aroostook County, Maine |
E12339
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
St. Agatha, Maine
St. Agatha, Maine is a small rural town in northern Maine known for its scenic lakeside setting and strong Franco-American heritage.
|
E244567
|
NE FINISHED |
How this triple was built (4 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: St. Agatha, Maine | Statement: [Aroostook County, Maine, hasTown, St. Agatha, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Agatha, Maine Context triple: [Aroostook County, Maine, hasTown, St. Agatha, Maine]
-
A.
Palmyra, Maine
Palmyra, Maine is a small rural town in Somerset County known for its location along major transportation routes in central Maine.
-
B.
Veazie, Maine
Veazie, Maine is a small residential town in eastern Maine located along the Penobscot River near the city of Bangor.
-
C.
Temple, Maine
Temple, Maine is a small rural town in western Maine known for its forested landscape and quiet, close-knit community.
-
D.
Jackman, Maine
Jackman, Maine is a small rural town in northwestern Maine known for its outdoor recreation opportunities, including hunting, fishing, snowmobiling, and access to the nearby Canadian border.
-
E.
Stetson, Maine
Stetson, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: St. Agatha, Maine Triple: [Aroostook County, Maine, hasTown, St. Agatha, Maine]
Generated description
St. Agatha, Maine is a small rural town in northern Maine known for its scenic lakeside setting and strong Franco-American heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St. Agatha, Maine Target entity description: St. Agatha, Maine is a small rural town in northern Maine known for its scenic lakeside setting and strong Franco-American heritage.
-
A.
Palmyra, Maine
Palmyra, Maine is a small rural town in Somerset County known for its location along major transportation routes in central Maine.
-
B.
Veazie, Maine
Veazie, Maine is a small residential town in eastern Maine located along the Penobscot River near the city of Bangor.
-
C.
Temple, Maine
Temple, Maine is a small rural town in western Maine known for its forested landscape and quiet, close-knit community.
-
D.
Jackman, Maine
Jackman, Maine is a small rural town in northwestern Maine known for its outdoor recreation opportunities, including hunting, fishing, snowmobiling, and access to the nearby Canadian border.
-
E.
Stetson, Maine
Stetson, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
- F. None of above. chosen
Provenance (5 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496da8e108190b4874c3b85290464 |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65078b908190a75665a2ee025db6 |
completed | March 9, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69ae6608d3ac8190923cd6a6ce7c4c89 |
completed | March 9, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66a751f881908fda164de72dac9b |
completed | March 9, 2026, 6:20 a.m. |
Created at: March 1, 2026, 7:32 p.m.