Triple
T4342534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roth |
E97815
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Roth station
Roth station is a railway station in the town of Roth in Bavaria, Germany, serving regional and local train services.
|
E444159
|
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: Roth station | Statement: [Roth, hasRailwayStation, Roth station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roth station Context triple: [Roth, hasRailwayStation, Roth station]
-
A.
Roosevelt station
Roosevelt station is a major Chicago 'L' rapid transit stop in the South Loop that serves as a key access point to nearby attractions including the Field Museum, Shedd Aquarium, and Soldier Field.
-
B.
Blaustein station
Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
-
C.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
D.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
E.
Forest Park station
Forest Park station is a Chicago Transit Authority rapid transit station in Forest Park, Illinois, serving as the western endpoint of the Blue Line.
- 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: Roth station Triple: [Roth, hasRailwayStation, Roth station]
Generated description
Roth station is a railway station in the town of Roth in Bavaria, Germany, serving regional and local train services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roth station Target entity description: Roth station is a railway station in the town of Roth in Bavaria, Germany, serving regional and local train services.
-
A.
Roosevelt station
Roosevelt station is a major Chicago 'L' rapid transit stop in the South Loop that serves as a key access point to nearby attractions including the Field Museum, Shedd Aquarium, and Soldier Field.
-
B.
Blaustein station
Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
-
C.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
D.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
E.
Forest Park station
Forest Park station is a Chicago Transit Authority rapid transit station in Forest Park, Illinois, serving as the western endpoint of the Blue Line.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351878c148190b384053479d41caf |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b650be7ac88190a8476b956e5994ec |
completed | March 15, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69b6519e30fc819098de2671c3aa89b9 |
completed | March 15, 2026, 6:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6521feae08190a029acdece360863 |
completed | March 15, 2026, 6:30 a.m. |
Created at: March 12, 2026, 11:14 p.m.