Triple
T17175008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S Line |
E416835
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Fairmont Station
Fairmont Station is a light rail stop on Metro Transit's S Line in the Minneapolis–Saint Paul metropolitan area.
|
E1254532
|
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: Fairmont Station | Statement: [S Line, hasStation, Fairmont Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairmont Station Context triple: [S Line, hasStation, Fairmont Station]
-
A.
Fairmont
Fairmont is a city in north-central West Virginia known historically for its role in the coal industry and as part of the greater Morgantown metropolitan area.
-
B.
Fairmont
Fairmont is a global luxury hotel brand known for its historic landmark properties and upscale accommodations.
-
C.
Fairmont
Fairmont is a small unincorporated community and census-designated place located in Will County, Illinois, United States.
-
D.
Algonquin Hotel
The Algonquin Hotel is a historic New York City hotel in Midtown Manhattan, famed for its literary Round Table and long association with writers, critics, and actors.
-
E.
Burlington Hotel
The Burlington Hotel is a historic landmark hotel in the small waterfront town of Port Costa, California, known for its 19th-century architecture and Old West character.
- 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: Fairmont Station Triple: [S Line, hasStation, Fairmont Station]
Generated description
Fairmont Station is a light rail stop on Metro Transit's S Line in the Minneapolis–Saint Paul metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fairmont Station Target entity description: Fairmont Station is a light rail stop on Metro Transit's S Line in the Minneapolis–Saint Paul metropolitan area.
-
A.
Fairmont
Fairmont is a global luxury hotel brand known for its historic landmark properties and upscale accommodations.
-
B.
Fairmont
Fairmont is a city in north-central West Virginia known historically for its role in the coal industry and as part of the greater Morgantown metropolitan area.
-
C.
Fairmont
Fairmont is a small unincorporated community and census-designated place located in Will County, Illinois, United States.
-
D.
Algonquin Hotel
The Algonquin Hotel is a historic New York City hotel in Midtown Manhattan, famed for its literary Round Table and long association with writers, critics, and actors.
-
E.
Burlington Hotel
The Burlington Hotel is a historic landmark hotel in the small waterfront town of Port Costa, California, known for its 19th-century architecture and Old West character.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0c329081909f118bd4b7be8653 |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148435f6081909bfc6cc1ef59d971 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014a4fdcf081908be68b1eda2066df |
completed | May 11, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014adf25808190ad712fbd7560e91d |
completed | May 11, 2026, 3:19 a.m. |
Created at: April 10, 2026, 5:37 a.m.