Triple
T20270916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (MARTA) |
E499088
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Vine City 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: Vine City station | Statement: [Green Line (MARTA), hasStation, Vine City station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vine City station Context triple: [Green Line (MARTA), hasStation, Vine City station]
-
A.
Vine City station
chosen
Vine City station is an elevated MARTA rapid transit stop in Atlanta, Georgia, serving the Vine City neighborhood near major downtown attractions.
-
B.
Northside station
Northside station is a Miami Metrorail rapid transit stop located in the northern part of Miami, Florida.
-
C.
North Avenue station
North Avenue station is a rapid transit stop in Atlanta, Georgia, serving MARTA’s Red Line near the city’s Midtown and downtown areas.
-
D.
North Avenue station
North Avenue station is a transit stop on Baltimore's Light Rail system serving the North Avenue corridor in Baltimore, Maryland.
-
E.
North Avenue station
North Avenue station is a major elevated rail station in Quezon City, Philippines, serving as a key commuter hub on Manila’s MRT Line 3.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dd7c58819095bbf4baeda04d6a |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.