Triple
T13263853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlovac County |
E315865
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object |
Dobra
Dobra is a river in central Croatia known for flowing through Karlovac County and contributing to the region’s karst landscape and hydropower resources.
|
E1030823
|
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: Dobra | Statement: [Karlovac County, containsRiver, Dobra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dobra Context triple: [Karlovac County, containsRiver, Dobra]
-
A.
Dobrada
Dobrada is a small municipality in the state of São Paulo, Brazil, known for its agricultural economy and rural character.
-
B.
Dobrota
Dobrota is a coastal town in Montenegro known for its historic stone houses and scenic waterfront along the Bay of Kotor.
-
C.
Gutes
The Gutes were the North Germanic inhabitants of the Baltic island of Gotland, known for their distinct Gutnish language and extensive Viking Age trade networks.
-
D.
Na dobre i na złe
Na dobre i na złe is a long-running Polish medical drama television series centered on the professional and personal lives of doctors and staff at a fictional hospital.
-
E.
Dobrodzień
Dobrodzień is a small town in southern Poland known for its traditional furniture-making industry and location within the historical region of Upper Silesia.
- 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: Dobra Triple: [Karlovac County, containsRiver, Dobra]
Generated description
Dobra is a river in central Croatia known for flowing through Karlovac County and contributing to the region’s karst landscape and hydropower resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dobra Target entity description: Dobra is a river in central Croatia known for flowing through Karlovac County and contributing to the region’s karst landscape and hydropower resources.
-
A.
Dobrada
Dobrada is a small municipality in the state of São Paulo, Brazil, known for its agricultural economy and rural character.
-
B.
Dobrota
Dobrota is a coastal town in Montenegro known for its historic stone houses and scenic waterfront along the Bay of Kotor.
-
C.
Gutes
The Gutes were the North Germanic inhabitants of the Baltic island of Gotland, known for their distinct Gutnish language and extensive Viking Age trade networks.
-
D.
Na dobre i na złe
Na dobre i na złe is a long-running Polish medical drama television series centered on the professional and personal lives of doctors and staff at a fictional hospital.
-
E.
Dobrodzień
Dobrodzień is a small town in southern Poland known for its traditional furniture-making industry and location within the historical region of Upper Silesia.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901c65048190bd8b3c4872f22520 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a48bc488190a5cf692d81bdcbba |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b5dbcc4819081b5ba410e319eb7 |
completed | May 3, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70c4c6f908190b2ebc2a90b049e59 |
completed | May 3, 2026, 8:50 a.m. |
Created at: April 9, 2026, 9:25 p.m.