Triple
T257229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yalta |
E5461
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Kusadasi |
E10416
|
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: Kusadasi | Statement: [Yalta, twinnedWith, Kusadasi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kusadasi Context triple: [Yalta, twinnedWith, Kusadasi]
-
A.
Antalya
Antalya is a major resort city on Turkey’s Mediterranean coast, known for its beaches, historic old town, and role as a gateway to the Turkish Riviera.
-
B.
Izmir
chosen
Izmir is a major Turkish coastal city known as an important commercial and cultural hub on the Aegean Sea.
-
C.
Konya
Konya is a major city in central Anatolia known for its rich Seljuk heritage and as the home of the Sufi mystic Rumi and the Whirling Dervishes.
-
D.
Rhodes
Rhodes is a historically significant Greek island in the eastern Aegean, renowned for its medieval Old Town, ancient ruins, and role as a major cultural and trading hub in the Mediterranean.
-
E.
Limassol
Limassol is a major coastal city in Cyprus known for its busy port, tourism, and role as a commercial and financial hub in the Eastern Mediterranean.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d5884c88190a349d7593b688921 |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a37958242c81909d114fba70b4211c |
completed | Feb. 28, 2026, 11:25 p.m. |
Created at: Feb. 28, 2026, 2:55 a.m.