Triple
T12133667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loop community area |
E288996
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | State/Lake station |
E73981
|
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: State/Lake station | Statement: [Loop community area, contains, State/Lake station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State/Lake station Context triple: [Loop community area, contains, State/Lake station]
-
A.
State/Lake station
chosen
State/Lake station is an elevated Chicago 'L' rapid transit stop in the Loop, serving multiple CTA lines in downtown Chicago.
-
B.
Big Lake station
Big Lake station is a commuter rail station in Big Lake, Minnesota, serving as the northern endpoint of the Northstar Line connecting to the Minneapolis–Saint Paul metropolitan area.
-
C.
Spring Lake station
Spring Lake station is a New Jersey Transit commuter rail stop in Spring Lake, New Jersey, serving trains on the North Jersey Coast Line.
-
D.
Lake station
Lake station is a Chicago 'L' rapid transit station on the Loop, serving as a key stop in the city's downtown elevated rail system.
-
E.
State station
State station is a major underground MBTA subway station in downtown Boston serving multiple lines and providing key access to the city’s financial district.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158c59e0819094d4522a107482b2 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68c8ee081908a0331805f62cb0d |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.