Triple
T4226013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pioneer Square Station |
E94459
|
entity |
| Predicate | openedForLightRail |
P16837
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Pioneer Square Station, openedForLightRail, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedForLightRail Context triple: [Pioneer Square Station, openedForLightRail, 2009]
-
A.
hasLightRailSystem
Indicates that a place possesses and operates a light rail transit system.
-
B.
openedToRailTraffic
chosen
Indicates that a rail line, track, or related infrastructure has begun operating and is officially available for use by train traffic.
-
C.
openedAsMBTAStation
Indicates that an entity began operation specifically as an MBTA station at a particular time.
-
D.
openedAsRailStop
Indicates that an entity began operation or was first established specifically as a railway stop.
-
E.
lightRailExpansion
Indicates the process or plan of extending an existing light rail transit system to cover additional areas or routes.
- 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_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. |
Created at: March 12, 2026, 11:04 p.m.