Triple
T19818002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schubertring |
E476109
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Parkring |
—
|
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: Parkring | Statement: [Schubertring, adjacentTo, Parkring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parkring Context triple: [Schubertring, adjacentTo, Parkring]
-
A.
Parkring
chosen
Parkring is a central boulevard in Vienna that forms part of the historic Ringstrasse, known for its grand architecture and proximity to prominent parks and landmarks.
-
B.
Parkend
Parkend is a small village situated within England’s historic Forest of Dean, known for its woodland surroundings and industrial heritage.
-
C.
Ottopark
Ottopark is a small urban green space in Berlin’s Moabit district, offering residents a local spot for relaxation and recreation.
-
D.
The Park
The Park is the surreal, city-owned recreational area and primary setting of the animated series "Regular Show," where characters like Rigby and Mordecai work and have their bizarre adventures.
-
E.
The Park
The Park is a central gathering area likely serving as a key recreational and social hub within its surrounding community.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654fac7b481909a19ae0d608e01d9 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.