Triple
T36880177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thompson Springs, Utah |
E911457
|
entity |
| Predicate | hasAmtrakStationStatus |
P186638
|
FINISHED |
| Object | closed |
—
|
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: closed | Statement: [Thompson Springs, Utah, hasAmtrakStationStatus, closed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmtrakStationStatus Context triple: [Thompson Springs, Utah, hasAmtrakStationStatus, closed]
-
A.
amtrakStation
Indicates that one entity is an Amtrak train station serving the other entity or located at the specified place.
-
B.
hasMBTACommuterRailTerminus
Indicates that one entity serves as the endpoint or final stop of an MBTA Commuter Rail line for the other entity.
-
C.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
D.
isSuburbanRailStation
Indicates that a location functions as a railway station serving suburban or commuter rail services, typically connecting outlying areas with an urban center.
-
E.
hasInterchangeStationWith
Indicates that two transportation lines, routes, or systems share a station where passengers can transfer between them.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.