Triple
T23123877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna tramway network |
E576971
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Simmering |
—
|
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: Simmering | Statement: [Vienna tramway network, serves, Simmering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simmering Context triple: [Vienna tramway network, serves, Simmering]
-
A.
Simmering
chosen
Simmering is the 11th district of Vienna, Austria, known for its mix of industrial areas, residential neighborhoods, and major sites such as the Vienna Central Cemetery.
-
B.
Simmer
"Simmer" is an alternative rock single by American singer Hayley Williams, released as part of her solo work outside of Paramore.
-
C.
Boiling Pot
Boiling Pot is a turbulent section of the Zambezi River below Victoria Falls, known for its powerful whirlpools and dramatic gorge scenery.
-
D.
Boiling Pot
Boiling Pot is a 2015 American drama film that explores racial tensions and prejudice on a college campus.
-
E.
Boiling Pots
Boiling Pots is a series of terraced pools and rapids on the Wailuku River in Hilo, Hawaii, known for its swirling, cauldron-like waters and scenic viewpoints.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e5299c08190a578102cf2ff7080 |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.