Triple
T13555847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novi Vinodolski |
E323771
|
entity |
| Predicate | locatedInHistoricalRegion |
P915
|
FINISHED |
| Object |
Vinodol
Vinodol is a historic coastal region in western Croatia known for its medieval towns, winegrowing tradition, and the influential 13th-century Vinodol Code.
|
E1046947
|
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: Vinodol | Statement: [Novi Vinodolski, locatedInHistoricalRegion, Vinodol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinodol Context triple: [Novi Vinodolski, locatedInHistoricalRegion, Vinodol]
-
A.
Dolo
Dolo is a historic town in northeastern Italy, situated along the Brenta River between Venice and Padua.
-
B.
Dolo
Dolo is an Italian stream that serves as a tributary of the Secchia River in northern Italy.
-
C.
Cvalda
"Cvalda" is an industrial, rhythm-driven musical number from the film "Dancer in the Dark," known for its clattering factory sounds and choreographed machinery.
-
D.
Vrbnička žlahtina wine
Vrbnička žlahtina wine is a dry white Croatian wine made from the native Žlahtina grape, traditionally produced around the town of Vrbnik on the island of Krk.
-
E.
Kvasiny
Kvasiny is a village in the Hradec Králové Region of the Czech Republic best known for hosting a major Škoda Auto manufacturing plant.
- 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: Vinodol Triple: [Novi Vinodolski, locatedInHistoricalRegion, Vinodol]
Generated description
Vinodol is a historic coastal region in western Croatia known for its medieval towns, winegrowing tradition, and the influential 13th-century Vinodol Code.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vinodol Target entity description: Vinodol is a historic coastal region in western Croatia known for its medieval towns, winegrowing tradition, and the influential 13th-century Vinodol Code.
-
A.
Dolo
Dolo is a historic town in northeastern Italy, situated along the Brenta River between Venice and Padua.
-
B.
Dolo
Dolo is an Italian stream that serves as a tributary of the Secchia River in northern Italy.
-
C.
Cvalda
"Cvalda" is an industrial, rhythm-driven musical number from the film "Dancer in the Dark," known for its clattering factory sounds and choreographed machinery.
-
D.
Vrbnička žlahtina wine
Vrbnička žlahtina wine is a dry white Croatian wine made from the native Žlahtina grape, traditionally produced around the town of Vrbnik on the island of Krk.
-
E.
Kvasiny
Kvasiny is a village in the Hradec Králové Region of the Czech Republic best known for hosting a major Škoda Auto manufacturing plant.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff3063c8190bd20149b3f7df352 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da95b7c8190af4fae155f01d3af |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75ffd5a088190967dae3262a22302 |
completed | May 3, 2026, 2:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f76072de148190b8911df91caa87b5 |
completed | May 3, 2026, 2:49 p.m. |
Created at: April 9, 2026, 9:47 p.m.