Triple
T4455060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalmatia |
E97699
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object |
Mljet
Mljet is a Croatian Adriatic island famed for its lush forests, tranquil bays, and Mljet National Park with its distinctive saltwater lakes.
|
E444340
|
NE FINISHED |
How this triple was built (4 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: Mljet | Statement: [Dalmatia, containsIsland, Mljet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mljet Context triple: [Dalmatia, containsIsland, Mljet]
-
A.
Brač
Brač is a large Adriatic island in Croatia known for its white-pebble Zlatni Rat beach and historic stone masonry.
-
B.
Krk Island
Krk Island is a large Croatian island in the northern Adriatic Sea, known for its historic towns, tourism, and cultural heritage.
-
C.
Crveni Otok
Crveni Otok is a small, scenic island off the coast of Rovinj in Croatia, known for its beaches, pine forests, and historic monastery complex.
-
D.
Mali Lošinj
Mali Lošinj is a coastal town and popular tourist destination on the island of Lošinj in western Croatia, known for its mild climate, maritime heritage, and scenic Adriatic landscapes.
-
E.
Korčula
Korčula is a historic Adriatic island known for its medieval walled town, dense forests, and rich Croatian cultural heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mljet Triple: [Dalmatia, containsIsland, Mljet]
Generated description
Mljet is a Croatian Adriatic island famed for its lush forests, tranquil bays, and Mljet National Park with its distinctive saltwater lakes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mljet Target entity description: Mljet is a Croatian Adriatic island famed for its lush forests, tranquil bays, and Mljet National Park with its distinctive saltwater lakes.
-
A.
Brač
Brač is a large Adriatic island in Croatia known for its white-pebble Zlatni Rat beach and historic stone masonry.
-
B.
Krk Island
Krk Island is a large Croatian island in the northern Adriatic Sea, known for its historic towns, tourism, and cultural heritage.
-
C.
Crveni Otok
Crveni Otok is a small, scenic island off the coast of Rovinj in Croatia, known for its beaches, pine forests, and historic monastery complex.
-
D.
Mali Lošinj
Mali Lošinj is a coastal town and popular tourist destination on the island of Lošinj in western Croatia, known for its mild climate, maritime heritage, and scenic Adriatic landscapes.
-
E.
Korčula
Korčula is a historic Adriatic island known for its medieval walled town, dense forests, and rich Croatian cultural heritage.
- F. None of above. chosen
Provenance (5 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f79ca481909338dda9f4f7171f |
completed | March 13, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6511439c08190965afc1107ae24f4 |
completed | March 15, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_69b65232b91881909e60ecdfcc763bde |
completed | March 15, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b652b524008190859390cce9829097 |
completed | March 15, 2026, 6:33 a.m. |
Created at: March 12, 2026, 11:33 p.m.