Triple
T21454110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Branchville station |
E529292
|
entity |
| Predicate | adjacentStationOnLine |
P41425
|
FINISHED |
| Object | Redding station |
—
|
NE NERFINISHED |
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: Redding station | Statement: [Branchville station, adjacentStationOnLine, Redding station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Redding station Context triple: [Branchville station, adjacentStationOnLine, Redding station]
-
A.
Redding station
chosen
Redding station is a small commuter rail stop in Redding, Connecticut, serving passengers on the Metro-North Railroad’s Danbury Branch.
-
B.
Mendota station
Mendota station is a historic passenger rail station in Mendota, Illinois, served by Amtrak trains.
-
C.
Seymour station
Seymour station is a small commuter rail stop in Seymour, Connecticut, served by Metro-North Railroad’s Waterbury Branch.
-
D.
Santa Rosa station
Santa Rosa station is a transit stop on Line 4A of the local rail network, serving passengers in its surrounding urban area.
-
E.
Santa Rosa station
Santa Rosa station is a railway stop in Santa Rosa, Laguna, Philippines, serving passengers on the Philippine National Railways Metro Commuter Line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d50b88819081a771596d0a2b2b |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:07 p.m.