Triple
T22733654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orem FrontRunner station |
E562205
|
entity |
| Predicate | adjacentCityNorth |
P149511
|
FINISHED |
| Object | Lehi, Utah (via FrontRunner) |
—
|
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: Lehi, Utah (via FrontRunner) | Statement: [Orem FrontRunner station, adjacentCityNorth, Lehi, Utah (via FrontRunner)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentCityNorth Context triple: [Orem FrontRunner station, adjacentCityNorth, Lehi, Utah (via FrontRunner)]
-
A.
adjacentStationNorth
Indicates that one station is directly adjacent to another station to its north.
-
B.
nearestLargeCityNorth
Indicates that one city is the closest large city located to the north of another city.
-
C.
nearestCitySouth
Indicates that one city is the closest city located to the south of another city.
-
D.
nearestMajorTownOnNorthSide
Indicates that one entity is the closest significant town located to the north of another entity.
-
E.
adjacentStationSouth
Indicates that one station is directly to the south of another station, with no other station in between.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1796e4970819090fb9c9926673938 |
completed | April 29, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:22 p.m.