Triple
T797702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (CTA) |
E17058
|
entity |
| Predicate | servesStation |
P839
|
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: [Green Line (CTA), servesStation, State/Lake station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State/Lake station Context triple: [Green Line (CTA), servesStation, 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.
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.
-
C.
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.
-
D.
Reservoir station
Reservoir station is a light rail stop on Boston’s MBTA Green Line that serves the D branch near Cleveland Circle in Brookline.
-
E.
Cascades Station
Cascades Station is a light rail stop on Portland’s MAX Red Line serving the Cascade Station shopping and business district near Portland International Airport.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b342888190a344fe81a2c9f33c |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67f01cca881908c1d230048be1225 |
completed | March 3, 2026, 6:26 a.m. |
Created at: March 1, 2026, 7:38 p.m.