Triple
T596343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davis station |
E17390
|
entity |
| Predicate | stationLayout |
P15899
|
FINISHED |
| Object | mezzanine above platform |
—
|
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: mezzanine above platform | Statement: [Davis station, stationLayout, mezzanine above platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationLayout Context triple: [Davis station, stationLayout, mezzanine above platform]
-
A.
stationName
Indicates the name assigned to a particular station in the relationship.
-
B.
terminusStation
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
-
C.
junctionStation
Indicates that a station functions as a junction where multiple routes or lines intersect or connect.
-
D.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
E.
vehicleLayout
Indicates how the components or seating within a vehicle are arranged or configured relative to each other.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd3e5e08190be95cb2009aad42d |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cfb52c81908d816a4c5579c321 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985b7d7481909b5d30f4001ed61c |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.