Triple
T13980275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presque Isle micropolitan area |
E336289
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Connor Township, Maine |
E100080
|
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: Connor Township, Maine | Statement: [Presque Isle micropolitan area, contains, Connor Township, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connor Township, Maine Context triple: [Presque Isle micropolitan area, contains, Connor Township, Maine]
-
A.
Connor Township, Maine
chosen
Connor Township, Maine is a small unorganized territory located in rural Aroostook County in the northern part of the state.
-
B.
Montville, Maine
Montville, Maine is a small rural town in central Maine known for its forests, farms, and quiet, scenic countryside.
-
C.
Cornville, Maine
Cornville, Maine is a small rural town located in central Maine known for its agricultural character and quiet, scenic setting.
-
D.
Mason Township, Maine
Mason Township, Maine is an unorganized territory in Oxford County known for its rural, forested landscape in western Maine near the New Hampshire border.
-
E.
Shapleigh, Maine
Shapleigh, Maine is a small rural town in southwestern Maine known for its forests, lakes, and outdoor recreation.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea10dc88190b9720919a021e570 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e5f2008190a0701ae37ed5219d |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.