Triple
T17049069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adriatic islands |
E413646
|
entity |
| Predicate | hasNotableIsland |
P970
|
FINISHED |
| Object | Krk |
E104257
|
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: Krk | Statement: [Adriatic islands, hasNotableIsland, Krk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krk Context triple: [Adriatic islands, hasNotableIsland, Krk]
-
A.
Krk
chosen
Krk is a large Adriatic Sea island in the northern part of Croatia, known for its historic towns, beaches, and popular tourist resorts.
-
B.
Krnjak
Krnjak is a small municipality and village located in central Croatia, known for its rural character and mixed ethnic population.
-
C.
Krušnica
Krušnica is a river in northwestern Bosnia and Herzegovina known for its clear waters and natural beauty as a tributary of the Una River.
-
D.
Krka Polska
Krka Polska is the Polish subsidiary of the international pharmaceutical company Krka, responsible for marketing and distributing its medicines and health products in Poland.
-
E.
Kojsko
Kojsko is a small village in western Slovenia, situated in the wine-growing Brda region near the Italian border.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa092f08190a9e37404a9de662c |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012341b8e88190a2bee865be5ca1c1 |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.