Triple
T19362897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beşiktaş district |
E484324
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Yıldız Park |
—
|
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: Yıldız Park | Statement: [Beşiktaş district, contains, Yıldız Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yıldız Park Context triple: [Beşiktaş district, contains, Yıldız Park]
-
A.
Yıldız Park
chosen
Yıldız Park is a large historic urban park in Istanbul, Turkey, known for its wooded hills, Ottoman-era pavilions, and views over the Bosphorus.
-
B.
Adastra Park
Adastra Park is a public recreational park and sports ground in the village of Hassocks in West Sussex, England.
-
C.
Luneta Park
Luneta Park is a historic urban park in Manila, Philippines, best known as a national landmark commemorating José Rizal and serving as a major cultural and recreational center.
-
D.
Bizan Park
Bizan Park is a scenic public park in Tokushima, Japan, known for its panoramic views from Mount Bizan and seasonal cherry blossoms.
-
E.
Wishing Star Park
Wishing Star Park is a scenic recreational area at the Shanghai Disney Resort featuring walking paths, gardens, and lakeside views that complement the nearby theme park and hotels.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619a897008190a2c62a50ca60de2d |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:34 p.m.