Triple
T4914167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korčula |
E110307
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Lumbarda
Lumbarda is a coastal village and popular tourist destination on the eastern tip of the Croatian island of Korčula, known for its sandy beaches and local wine production.
|
E478882
|
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: Lumbarda | Statement: [Korčula, hasSettlement, Lumbarda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumbarda Context triple: [Korčula, hasSettlement, Lumbarda]
-
A.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
-
B.
Tognana
Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
C.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
D.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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: Lumbarda Triple: [Korčula, hasSettlement, Lumbarda]
Generated description
Lumbarda is a coastal village and popular tourist destination on the eastern tip of the Croatian island of Korčula, known for its sandy beaches and local wine production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lumbarda Target entity description: Lumbarda is a coastal village and popular tourist destination on the eastern tip of the Croatian island of Korčula, known for its sandy beaches and local wine production.
-
A.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
-
B.
Tognana
Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
C.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
D.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9f12b48190b3cb5378958d03cd |
completed | March 20, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6feaf3dc81908b2c7a7409b1c952 |
completed | March 21, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_69be7147bff8819097059b1b24e2b0f7 |
completed | March 21, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be71d8dc6081908608d9e90498579b |
completed | March 21, 2026, 10:24 a.m. |
Created at: March 20, 2026, 1:29 p.m.