Triple
T6207603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Springfield Union Station |
E138786
|
entity |
| Predicate | reopenedAsIntermodalCenter |
P63192
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Springfield Union Station, reopenedAsIntermodalCenter, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reopenedAsIntermodalCenter Context triple: [Springfield Union Station, reopenedAsIntermodalCenter, 2017]
-
A.
reopenedAsInternationalTerminal
Indicates that a terminal, previously closed or used differently, has been reopened specifically to function as an international terminal.
-
B.
servesAsCargoHubFor
Indicates that one entity functions as a central location or facility for handling, consolidating, and distributing cargo associated with another entity.
-
C.
reopeningAs
chosen
Indicates that an entity that was previously closed or inactive is starting operations again under a new or updated form, identity, or function.
-
D.
reopenedFor
Indicates that an entity, previously closed or inactive, has been opened again to allow access, use, or operation for another entity or purpose.
-
E.
railNetworkCenter
Indicates that a location functions as a central hub or focal point within a rail transportation network.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06270b8d08190a81bc03c8175b989 |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.