Triple
T14755223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margareten |
E346712
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Favoriten |
E548236
|
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: Favoriten | Statement: [Margareten, borderedBy, Favoriten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Favoriten Context triple: [Margareten, borderedBy, Favoriten]
-
A.
Favoriten
chosen
Favoriten is the 10th district of Vienna, Austria, known as a large, densely populated residential area with a diverse population and a mix of historic and modern urban development.
-
B.
Fave
Fave is a Nigerian singer and songwriter known for her emotive vocals and Afropop-influenced sound.
-
C.
La favorita
La favorita is a grand opera in four acts by Gaetano Donizetti, renowned for its dramatic bel canto style and emotionally powerful vocal writing.
-
D.
Graveyard of Favorites
Graveyard of Favorites is the famous nickname for Saratoga Race Course, reflecting its long history of upsets in which heavily favored horses are unexpectedly defeated.
-
E.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cea5d348190a84970da131292ee |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.