Triple
T10508709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clearfield, Utah |
E247852
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Clearfield station
Clearfield station is a commuter rail stop in Clearfield, Utah, serving Utah Transit Authority’s FrontRunner line.
|
E872743
|
NE FINISHED |
How this triple was built (4 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: Clearfield station | Statement: [Clearfield, Utah, hasStation, Clearfield station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clearfield station Context triple: [Clearfield, Utah, hasStation, Clearfield station]
-
A.
Maplewood station
Maplewood station is a commuter rail stop on NJ Transit's Morris & Essex Lines serving the suburban community of Maplewood, New Jersey.
-
B.
Garfield station
Garfield station is a Chicago 'L' rapid transit station on the South Side that serves as the southern endpoint of the Ashland/63rd branch of the Green Line.
-
C.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
D.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
E.
Vestby Station
Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Clearfield station Triple: [Clearfield, Utah, hasStation, Clearfield station]
Generated description
Clearfield station is a commuter rail stop in Clearfield, Utah, serving Utah Transit Authority’s FrontRunner line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clearfield station Target entity description: Clearfield station is a commuter rail stop in Clearfield, Utah, serving Utah Transit Authority’s FrontRunner line.
-
A.
Maplewood station
Maplewood station is a commuter rail stop on NJ Transit's Morris & Essex Lines serving the suburban community of Maplewood, New Jersey.
-
B.
Garfield station
Garfield station is a Chicago 'L' rapid transit station on the South Side that serves as the southern endpoint of the Ashland/63rd branch of the Green Line.
-
C.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
D.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
E.
Vestby Station
Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
- F. None of above. chosen
Provenance (5 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b287ac8190805a2375bd16b7ae |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b13f4fc8190863d6e1aa7da5733 |
completed | April 10, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69d94c6fa9ac8190819a399754d2bd15 |
completed | April 10, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d953440a508190a50d1897cdbeba03 |
completed | April 10, 2026, 7:45 p.m. |
Created at: April 6, 2026, 12:26 p.m.