Triple
T17175013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S Line |
E416835
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Fairmont Station |
E1254532
|
NE 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: Fairmont Station | Statement: [S Line, terminus, Fairmont Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairmont Station Context triple: [S Line, terminus, Fairmont Station]
-
A.
Fairmont Station
chosen
Fairmont Station is a light rail stop on Metro Transit's S Line in the Minneapolis–Saint Paul metropolitan area.
-
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 global luxury hotel brand known for its historic landmark properties and upscale accommodations.
-
D.
Fairmont
Fairmont is a small unincorporated community and census-designated place located in Will County, Illinois, United States.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_6a015fca04cc8190a9df230078fbe268 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.