Triple
T15869136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piața Victoriei |
E384786
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Kiseleff Park |
E1231695
|
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: Kiseleff Park | Statement: [Piața Victoriei, near, Kiseleff Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiseleff Park Context triple: [Piața Victoriei, near, Kiseleff Park]
-
A.
Kiseleff Park
chosen
Kiseleff Park is a historic and centrally located public park in Bucharest, Romania, known for its tree-lined avenues, monuments, and proximity to major city landmarks.
-
B.
Belinsky Park
Belinsky Park is a notable public park and recreational green space in the city of Penza, Russia.
-
C.
Fermsky Park
Fermsky Park is a public green space in the Pushkinsky District of Saint Petersburg, Russia, offering residents and visitors areas for recreation and outdoor leisure.
-
D.
Bitsevsky Park
Bitsevsky Park is a station on the Moscow Metro serving the area near the large Bitsevskiy forest park in southern Moscow.
-
E.
Woldenberg Park
Woldenberg Park is a riverside public park in New Orleans known for its scenic Mississippi River views, walking paths, and outdoor art and events.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155f7fe8c81908fb60ada27b14c8b |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aae0f87c819085ebc7d475ebe8ba |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 4:50 a.m.