Triple
T17210660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (Miami Metrorail) |
E417718
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | Culmer station |
E1254589
|
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: Culmer station | Statement: [Green Line (Miami Metrorail), servesStation, Culmer station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Culmer station Context triple: [Green Line (Miami Metrorail), servesStation, Culmer station]
-
A.
Culmer station
chosen
Culmer station is a Miami Metrorail rapid transit station located in the Overtown area of Miami, Florida.
-
B.
Burholme station
Burholme station is a commuter rail stop in Philadelphia, Pennsylvania, served by SEPTA’s Fox Chase Line.
-
C.
Løten Station
Løten Station is a railway station in Innlandet county, Norway, serving the village of Løten on the Røros Line.
-
D.
Holmlia Station
Holmlia Station is a railway station in Oslo, Norway, serving the residential district of Holmlia and the surrounding Søndre Nordstrand area.
-
E.
Cyrville station
Cyrville station is a light-rail transit stop in Ottawa, Ontario, serving the city's Confederation Line.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc4792081909443df7937768ede |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fe217308190b6ae1e98d0c421e4 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.