Triple
T1765940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blaustein |
E38762
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Blaustein station
Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
|
E267218
|
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: Blaustein station | Statement: [Blaustein, hasRailwayStation, Blaustein station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blaustein station Context triple: [Blaustein, hasRailwayStation, Blaustein station]
-
A.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
B.
Dorsey station
Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
-
C.
Baldwin station
Baldwin station is a Long Island Rail Road commuter rail stop located in the hamlet of Baldwin in Nassau County, New York.
-
D.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
-
E.
Palatine station
Palatine station is a commuter rail station in Palatine, Illinois, serving as a stop on Metra's Union Pacific Northwest Line in the Chicago metropolitan area.
- 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: Blaustein station Triple: [Blaustein, hasRailwayStation, Blaustein station]
Generated description
Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blaustein station Target entity description: Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
-
A.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
B.
Dorsey station
Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
-
C.
Baldwin station
Baldwin station is a Long Island Rail Road commuter rail stop located in the hamlet of Baldwin in Nassau County, New York.
-
D.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
-
E.
Palatine station
Palatine station is a commuter rail station in Palatine, Illinois, serving as a stop on Metra's Union Pacific Northwest Line in the Chicago metropolitan area.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6467c3f08190abc8a06269ede908 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef071a6588190bf45a797b4d10f8b |
completed | March 9, 2026, 4:08 p.m. |
| NEDg | Description generation | batch_69aef56527308190923fc5394ba2521a |
completed | March 9, 2026, 4:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef6450a1c8190ad5a844b31bff220 |
completed | March 9, 2026, 4:33 p.m. |
Created at: March 4, 2026, 7:31 p.m.