Triple
T29647094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haymarket station |
E756030
|
entity |
| Predicate | hasAdjacentStationOnOrangeLine |
P33498
|
FINISHED |
| Object | North 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: North Station | Statement: [Haymarket station, hasAdjacentStationOnOrangeLine, North Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentStationOnOrangeLine Context triple: [Haymarket station, hasAdjacentStationOnOrangeLine, North Station]
-
A.
adjacentStationOnOrangeLine
chosen
Indicates that one station is directly next to another station along the Orange Line, with no other stations in between.
-
B.
hasAdjacentStationOnYellowLine
Indicates that one station is directly next to another station along the yellow transit line.
-
C.
hasAdjacentStationOnPurpleLine
Indicates that one station is directly next to another station along the Purple Line in the transit network.
-
D.
hasAdjacentStationOnCentralLine
Indicates that one station is directly next to another station along the Central Line.
-
E.
hasAdjacentStationOnGreenLine
Indicates that one station is directly next to another station along the Green 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 28, 2026, 6:50 p.m.