Triple
T19406862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kotor Bay |
E485484
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bijela |
—
|
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: Bijela | Statement: [Kotor Bay, hasPart, Bijela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bijela Context triple: [Kotor Bay, hasPart, Bijela]
-
A.
Bijela
chosen
Bijela is a coastal town in Montenegro situated along the Bay of Kotor, known for its maritime heritage and scenic Adriatic shoreline.
-
B.
Krasna
Krasna is a surname most notably associated with American screenwriter, playwright, and film producer Norman Krasna.
-
C.
Бяла
Бяла is a small Bulgarian town known for its location near the Black Sea coast and its mix of historical and seaside tourism attractions.
-
D.
Biała
Biała is a river in southern Poland known for flowing through the city of Bielsko-Biała before joining the Vistula basin.
-
E.
Biała
Biała is a former town in southern Poland that historically developed as a separate urban center before being merged with Bielsko to form the modern city of Bielsko-Biała.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257bad0c819088dd7729b6a36a94 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.