Triple
T11026326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine State Route 142 |
E260630
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Carthage, Maine |
E63093
|
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: Carthage, Maine | Statement: [Maine State Route 142, passesThrough, Carthage, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carthage, Maine Context triple: [Maine State Route 142, passesThrough, Carthage, Maine]
-
A.
Carthage, Maine
chosen
Carthage, Maine is a small rural town in western Maine known for its mountainous landscape and outdoor recreational opportunities.
-
B.
Palermo, Maine
Palermo, Maine is a small rural town in central Maine known for its lakes, forests, and quiet residential character.
-
C.
Calais, Maine
Calais, Maine is a small city on the St. Croix River along the U.S.–Canada border in eastern Maine, known historically for lumber, shipbuilding, and cross-border trade.
-
D.
Charleston, Maine
Charleston, Maine is a small rural town in Penobscot County known for its quiet countryside and agricultural character.
-
E.
Naples, Maine
Naples, Maine is a small resort town in the Lakes Region of western Maine known for its waterfront recreation on Long Lake and Brandy Pond.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d0cd988190a7b21d7bdc3109ce |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c1d31048190ab0a8d8e00515211 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 8, 2026, 9:25 p.m.