Triple
T26886843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairview Park Mall area |
E677062
|
entity |
| Predicate | lightRailTerminusRole |
P133846
|
FINISHED |
| Object | eastern terminus of Ion Stage 1 (Fairway station) |
—
|
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: eastern terminus of Ion Stage 1 (Fairway station) | Statement: [Fairview Park Mall area, lightRailTerminusRole, eastern terminus of Ion Stage 1 (Fairway station)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightRailTerminusRole Context triple: [Fairview Park Mall area, lightRailTerminusRole, eastern terminus of Ion Stage 1 (Fairway station)]
-
A.
lightRailStation
Indicates that the subject is a light rail station or location designated for light rail transit services.
-
B.
lightRailStationName
Indicates that a light rail station has the specified name.
-
C.
lightRailNetworkEndpointFor
chosen
Indicates that one entity serves as an endpoint (such as a terminus or boundary station) of a specified light rail network.
-
D.
lightRailNetwork
Indicates a relationship where an area, city, or region is served by or contains a light rail transit network.
-
E.
lightRailSystemName
Indicates the name assigned to a particular light rail transit system.
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fd623bc819091df736cf3419b99 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 5:42 a.m.