Triple
T19658488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keene, New Hampshire |
E472012
|
entity |
| Predicate | hasTrail |
P3625
|
FINISHED |
| Object | Ashuelot Rail Trail |
—
|
NE NERFINISHED |
How this triple was built (3 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: Ashuelot Rail Trail | Statement: [Keene, New Hampshire, hasTrail, Ashuelot Rail Trail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashuelot Rail Trail Context triple: [Keene, New Hampshire, hasTrail, Ashuelot Rail Trail]
-
A.
Ashuwillticook Rail Trail
Ashuwillticook Rail Trail is a scenic multi-use path in western Massachusetts that follows a former railroad corridor along lakes, rivers, and mountain views popular for walking, running, and cycling.
-
B.
Manhan Rail Trail
Manhan Rail Trail is a multi-use recreational path in western Massachusetts that follows a former rail corridor, popular for walking, running, and cycling.
-
C.
Hurley Rail Trail
Hurley Rail Trail is a multi-use recreational path in Ulster County, New York, popular for walking, running, and cycling along a former railroad corridor.
-
D.
Spruce Railroad Trail
Spruce Railroad Trail is a scenic hiking and biking path in Washington’s Olympic National Park that follows an old railroad grade along the shores of Lake Crescent.
-
E.
Oro-Medonte Rail Trail
The Oro-Medonte Rail Trail is a recreational multi-use trail in Oro-Medonte, Ontario, that follows a former railway corridor for activities like walking, cycling, and snowmobiling.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ashuelot Rail Trail Target entity description: Ashuelot Rail Trail is a multi-use recreational path in southwestern New Hampshire that follows a former railroad corridor along the Ashuelot River, popular for walking, cycling, and snowmobiling.
-
A.
Ashuwillticook Rail Trail
Ashuwillticook Rail Trail is a scenic multi-use path in western Massachusetts that follows a former railroad corridor along lakes, rivers, and mountain views popular for walking, running, and cycling.
-
B.
Manhan Rail Trail
Manhan Rail Trail is a multi-use recreational path in western Massachusetts that follows a former rail corridor, popular for walking, running, and cycling.
-
C.
Hurley Rail Trail
Hurley Rail Trail is a multi-use recreational path in Ulster County, New York, popular for walking, running, and cycling along a former railroad corridor.
-
D.
Spruce Railroad Trail
Spruce Railroad Trail is a scenic hiking and biking path in Washington’s Olympic National Park that follows an old railroad grade along the shores of Lake Crescent.
-
E.
Oro-Medonte Rail Trail
The Oro-Medonte Rail Trail is a recreational multi-use trail in Oro-Medonte, Ontario, that follows a former railway corridor for activities like walking, cycling, and snowmobiling.
- F. None of above. chosen
Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641485ce481908b3860fa5e3a9f6e |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.