Triple
T6618348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Street–Old Town station |
E149611
|
entity |
| Predicate | hasPassengerRailConnection |
P71547
|
FINISHED |
| Object | intercity rail |
—
|
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: intercity rail | Statement: [King Street–Old Town station, hasPassengerRailConnection, intercity rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPassengerRailConnection Context triple: [King Street–Old Town station, hasPassengerRailConnection, intercity rail]
-
A.
hasRailSystem
Indicates that an entity possesses or is served by a rail-based transportation system.
-
B.
hasHighSpeedRailStation
Indicates that a location is served by a high-speed rail station where high-speed trains regularly stop.
-
C.
hasMajorRailLinksTo
Indicates that there are significant railway connections or routes between two locations.
-
D.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
E.
connectsToRailStation
Indicates that one entity has a direct link, route, or access connection to a rail station.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6bdb88cc881908f35648c15a7dc85 |
completed | March 27, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69c6ad007c1c8190af425f51011c7ad1 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6bdb76ec48190b59d576170970cc9 |
completed | March 27, 2026, 5:26 p.m. |
Created at: March 27, 2026, 1:58 p.m.