Triple
T7546406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elburn station |
E178413
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Elburn |
E267885
|
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: Elburn | Statement: [Elburn station, hasAbbreviation, Elburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elburn Context triple: [Elburn station, hasAbbreviation, Elburn]
-
A.
Elburn, Illinois
chosen
Elburn, Illinois is a small village in the Chicago metropolitan area known for its rural character and role as a commuter rail terminus for Metra’s Union Pacific West Line.
-
B.
Schaumburg
Schaumburg is a historic German county and region that once formed part of the territorial holdings of various German princes and states.
-
C.
Woodridge
Woodridge is a residential neighborhood in Northeast Washington, D.C., known for its tree-lined streets and proximity to the Brookland area.
-
D.
Elwood, Illinois
Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
-
E.
Berwyn
Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89963ec8190ae7b8a2b9508c074 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2281e332c819093444685d37b9251 |
completed | April 5, 2026, 9:15 a.m. |
Created at: March 27, 2026, 3:49 p.m.