Triple
T3087787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poland, Maine |
E64413
|
entity |
| Predicate | bordersTown |
P224
|
FINISHED |
| Object | Hebron, Maine |
E205639
|
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: Hebron, Maine | Statement: [Poland, Maine, bordersTown, Hebron, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hebron, Maine Context triple: [Poland, Maine, bordersTown, Hebron, Maine]
-
A.
Hebron, Maine
chosen
Hebron, Maine is a small rural town in western Maine known for its scenic landscape and as the home of the private preparatory school Hebron Academy.
-
B.
Hollis, Maine
Hollis, Maine is a small rural town in southern Maine known for its residential character and location along the Saco River in York County.
-
C.
Hiram, Maine
Hiram, Maine is a small rural town in Oxford County known for its scenic setting along the Saco River and its proximity to the western Maine mountains.
-
D.
Harrison, Maine
Harrison, Maine is a small town in western Maine known for its lakeside setting and recreational opportunities in Oxford County.
-
E.
Newburgh, Maine
Newburgh, Maine is a small rural town in central Maine known for its agricultural character and quiet residential community.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada437c5e08190af22f6fa11cf9252 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ca47023570819082904801962f8dcb |
completed | March 30, 2026, 9:48 a.m. |
Created at: March 8, 2026, 3:03 p.m.