Triple
T22945590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chatsworth |
E569856
|
entity |
| Predicate | hasTransportation |
P105
|
FINISHED |
| Object | Chatsworth station |
—
|
NE NERFINISHED |
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: Chatsworth station | Statement: [Chatsworth, hasTransportation, Chatsworth station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chatsworth station Context triple: [Chatsworth, hasTransportation, Chatsworth station]
-
A.
Chatsworth station
chosen
Chatsworth station is a commuter rail station in the Chatsworth neighborhood of Los Angeles, California, serving Metrolink and Amtrak trains as a regional transit hub.
-
B.
Chester station
Chester station is a subway station on Line 2 Bloor–Danforth of the Toronto Transit Commission, serving Toronto’s Greektown area.
-
C.
Trinity Mills Station
Trinity Mills Station is a public transit hub in Carrollton, Texas, serving as a stop on Dallas Area Rapid Transit's Green Line light rail and connecting bus services.
-
D.
West Park station
West Park station is a rapid transit stop on Cleveland's RTA Red Line serving the West Park neighborhood on the city's west side.
-
E.
Park Lane station
Park Lane station is a public transit stop on Dallas Area Rapid Transit’s light rail system in Dallas, Texas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819d2d7881909e6390717ff79df0 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:45 p.m.