Triple
T3087785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poland, Maine |
E64413
|
entity |
| Predicate | bordersTown |
P224
|
FINISHED |
| Object | Otisfield, Maine |
E448219
|
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: Otisfield, Maine | Statement: [Poland, Maine, bordersTown, Otisfield, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otisfield, Maine Context triple: [Poland, Maine, bordersTown, Otisfield, Maine]
-
A.
Otisfield, Maine
chosen
Otisfield, Maine is a small rural town in western Maine known for its lakes, forests, and quiet residential character.
-
B.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
C.
Porter, Maine
Porter, Maine is a small rural town in Oxford County known for its scenic setting near the New Hampshire border and its traditional New England character.
-
D.
Shapleigh, Maine
Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
-
E.
Winthrop, Maine
Winthrop, Maine is a small New England town known for its lakes, outdoor recreation, and residential community west of Augusta.
- 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_69ca293158d4819091918490eec7eb5b |
completed | March 30, 2026, 7:41 a.m. |
Created at: March 8, 2026, 3:03 p.m.