Triple
T31642955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Glen station |
E807505
|
entity |
| Predicate | precedingStationOnRedLineTowardShadyGrove |
P78988
|
FINISHED |
| Object | Wheaton 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: Wheaton station | Statement: [Forest Glen station, precedingStationOnRedLineTowardShadyGrove, Wheaton station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedingStationOnRedLineTowardShadyGrove Context triple: [Forest Glen station, precedingStationOnRedLineTowardShadyGrove, Wheaton station]
-
A.
precedingStationOnRedLine
chosen
Indicates that one station is immediately before another station along the route of the Red Line.
-
B.
precedingStationOnRedLineTowardAlewife
Indicates that one station is immediately before another station on the Red Line in the direction of travel toward Alewife.
-
C.
precedingStationOnRedLineSouthbound
Indicates that one station is immediately before another station when traveling southbound on the Red Line.
-
D.
precedingStationOnBlueLine
Indicates that one station is immediately before another station along the Blue Line route.
-
E.
adjacentStationOnManassasLine
Indicates that two stations are directly next to each other as consecutive stops on the Manassas rail line.
- F. None of above.
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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 30, 2026, 10:50 p.m.