Triple
T21002432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masmo |
E517327
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object | Masmo metro 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: Masmo metro station | Statement: [Masmo, hasMetroStation, Masmo metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masmo metro station Context triple: [Masmo, hasMetroStation, Masmo metro station]
-
A.
Masmo metro station
chosen
Masmo metro station is a Stockholm metro station on the red line serving the Masmo district in the southern suburbs of Sweden’s capital.
-
B.
Moosapet metro station
Moosapet metro station is an elevated station on Hyderabad Metro’s Red Line serving the Moosapet area in the western part of the city.
-
C.
Nyamiha metro station
Nyamiha metro station is a Minsk Metro station named after and located near the historic Nyamiha River in central Minsk, Belarus.
-
D.
Jasmin metro station
Jasmin metro station is a Paris Métro station in the 16th arrondissement, serving Line 9 in a primarily residential area on the city's western side.
-
E.
Shoush Metro Station
Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc38b8688190860fba1b58e1b3e6 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.