Triple
T14755063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stubentor |
E346708
|
entity |
| Predicate | hasExitTo |
P29827
|
FINISHED |
| Object | Parkring |
E468705
|
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: Parkring | Statement: [Stubentor, hasExitTo, Parkring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parkring Context triple: [Stubentor, hasExitTo, 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 a tranquil, nature-filled district of Stormwind City in World of Warcraft, known for its lush greenery and scenic views overlooking the harbor.
-
E.
Invalidenpark
Invalidenpark is a public park in central Berlin, Germany, known for its modern memorial design and reflective water basin commemorating victims of war and dictatorship.
- 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_69fdfb9e1b8481909abea3daabe91302 |
completed | May 8, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:30 a.m.