Triple
T15036952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UP Express |
E378500
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object | Union Station |
E201938
|
NE 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: Union Station | Statement: [UP Express, station, Union Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union Station Context triple: [UP Express, station, Union Station]
-
A.
Union Station
Union Station is the main railway station and a historic transportation hub in downtown Los Angeles, renowned for its Mission Revival and Art Deco architecture.
-
B.
Union Station
chosen
Union Station is a historic train station name commonly used for major passenger rail terminals in several North American cities.
-
C.
Union Station
Union Station was a historic railroad terminal in downtown Houston, Texas, whose former site and preserved facade now form part of the Minute Maid Park baseball stadium complex.
-
D.
Union Station
Union Station is a renowned American bluegrass and country band best known for its long-running collaboration with Alison Krauss and its virtuosic acoustic instrumentation.
-
E.
Union Station
"Union Station" is a 1950 American film noir crime thriller centered on a tense kidnapping case unfolding around a bustling urban train terminal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5b75c04819085996a7f88ab6c38 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 2:59 a.m.