Triple
T3593525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA Green Line |
E76081
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | King Drive station |
E175297
|
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: King Drive station | Statement: [CTA Green Line, servesStation, King Drive station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Drive station Context triple: [CTA Green Line, servesStation, King Drive station]
-
A.
King Drive station
chosen
King Drive station is a Chicago Transit Authority 'L' station on the Green Line located in the city's South Side.
-
B.
Silver Lake station
Silver Lake station is a stop on New Jersey's Newark Light Rail system serving the surrounding residential neighborhood.
-
C.
Avenue Road station
Avenue Road station was the original name of Toronto’s Museum subway station on Line 1 Yonge–University.
-
D.
King station
King station is a downtown Toronto subway station on the TTC network serving the Financial District and nearby attractions.
-
E.
Stadium Station
Stadium Station is a light rail station in Seattle’s SoDo neighborhood that primarily serves the nearby sports stadiums and industrial area.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15bbbcc81908d6cf95f8e70c6ca |
completed | March 8, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4030fab188190b8de1a4b4d625f00 |
completed | March 13, 2026, 12:29 p.m. |
Created at: March 8, 2026, 3:22 p.m.