Triple
T14866965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oktogon |
E349639
|
entity |
| Predicate | hasPublicTransportStop |
P15438
|
FINISHED |
| Object | Oktogon tram stop |
E353171
|
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: Oktogon tram stop | Statement: [Oktogon, hasPublicTransportStop, Oktogon tram stop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oktogon tram stop Context triple: [Oktogon, hasPublicTransportStop, Oktogon tram stop]
-
A.
Oktogon station
chosen
Oktogon station is a historic underground metro stop in central Budapest, Hungary, located beneath the Oktogon intersection on the city's Millennium Underground (M1) line.
-
B.
Oerlikon tram stop
Oerlikon tram stop is a public transport stop in the Zürich district of Oerlikon, serving as part of the city’s urban tram system.
-
C.
Schwarzenbergplatz tram stop
Schwarzenbergplatz tram stop is a public transport stop in Vienna, Austria, serving tram lines that pass through the central Schwarzenbergplatz square.
-
D.
Klusplatz tram stop
Klusplatz tram stop is a public transport stop in Zürich, Switzerland, serving as a local hub on the city’s tram network.
-
E.
Benchill tram stop
Benchill tram stop is a light-rail station on Greater Manchester’s Metrolink network serving the Benchill area of Wythenshawe.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5761c688190b4477cb081554b51 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe651067cc8190b9c218ef1f802762 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:55 a.m.