Triple
T3529073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldo County, Maine |
E74613
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Freedom, Maine
Freedom, Maine is a small rural town in central Maine known for its scenic countryside and tight-knit community.
|
E407705
|
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: Freedom, Maine | Statement: [Waldo County, Maine, hasTown, Freedom, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freedom, Maine Context triple: [Waldo County, Maine, hasTown, Freedom, Maine]
-
A.
Strong, Maine
Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
-
B.
Westmanland, Maine
Westmanland, Maine is a small rural town located in northern Maine within Aroostook County.
-
C.
Lebanon, Maine
Lebanon, Maine is a small rural town in southwestern Maine known for its forests, lakes, and proximity to the New Hampshire border.
-
D.
Madawaska, Maine
Madawaska, Maine is a small town in far northern Maine on the Canadian border, known for its Franco-American heritage and position as one of the four geographic corners of the United States.
-
E.
Maine
Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
- 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: Freedom, Maine Triple: [Waldo County, Maine, hasTown, Freedom, Maine]
Generated description
Freedom, Maine is a small rural town in central Maine known for its scenic countryside and tight-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freedom, Maine Target entity description: Freedom, Maine is a small rural town in central Maine known for its scenic countryside and tight-knit community.
-
A.
Strong, Maine
Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
-
B.
Westmanland, Maine
Westmanland, Maine is a small rural town located in northern Maine within Aroostook County.
-
C.
Lebanon, Maine
Lebanon, Maine is a small rural town in southwestern Maine known for its forests, lakes, and proximity to the New Hampshire border.
-
D.
Madawaska, Maine
Madawaska, Maine is a small town in far northern Maine on the Canadian border, known for its Franco-American heritage and position as one of the four geographic corners of the United States.
-
E.
Maine
Maine is a northeastern U.S. state known for its rugged coastline, maritime history, and vast forested interior.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6e9188819093480b39f263ce75 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556076b34819097b15b60a91b5164 |
completed | March 14, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69b556efc2148190a66e732e09e4fc21 |
completed | March 14, 2026, 12:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5575de0e88190843f1fcbc12c9dd5 |
completed | March 14, 2026, 12:41 p.m. |
Created at: March 8, 2026, 3:19 p.m.