Triple
T4226012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pioneer Square Station |
E94459
|
entity |
| Predicate | openedAsBusTunnelStation |
P55423
|
FINISHED |
| Object | 1990 |
—
|
LITERAL 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: 1990 | Statement: [Pioneer Square Station, openedAsBusTunnelStation, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsBusTunnelStation Context triple: [Pioneer Square Station, openedAsBusTunnelStation, 1990]
-
A.
openedAsMBTAStation
Indicates that an entity began operation specifically as an MBTA station at a particular time.
-
B.
openedAsRedLineStation
Indicates that a station began operation specifically as part of the Red Line when it first opened.
-
C.
openedAsMetrolinkStop
Indicates that a location began operation specifically as a Metrolink transit stop.
-
D.
openedAsRailStop
Indicates that an entity began operation or was first established specifically as a railway stop.
-
E.
openedAsSubway
Indicates that a transportation facility or line originally began operation specifically as a subway service.
- F. None of above. chosen
Provenance (4 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e4ed34c819081d1479ce87cd78c |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e4ace648190acf911853d4fcf86 |
completed | March 12, 2026, 11:37 p.m. |
Created at: March 12, 2026, 11:04 p.m.