Triple
T15941597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragonja River |
E386576
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Pinjevec
Pinjevec is a small stream in southwestern Slovenia that serves as a tributary of the Dragonja River near the Adriatic coast.
|
E1184670
|
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: Pinjevec | Statement: [Dragonja River, hasTributary, Pinjevec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinjevec Context triple: [Dragonja River, hasTributary, Pinjevec]
-
A.
Pinezići
Pinezići is a small coastal village and tourist settlement on the Croatian island of Krk in the Adriatic Sea.
-
B.
Piva
Piva is a river in Montenegro and Bosnia and Herzegovina known for its deep canyon, hydroelectric dam, and role as a headwater of the Drina River.
-
C.
Pojuca
Pojuca is a municipality in the Brazilian state of Bahia that forms part of the greater Salvador metropolitan area.
-
D.
Povljana
Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
-
E.
Prigorje
Prigorje is a cultural and historical region in northern Croatia, situated along the slopes of Medvednica Mountain near Zagreb, known for its traditional rural settlements and Kajkavian-speaking population.
- 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: Pinjevec Triple: [Dragonja River, hasTributary, Pinjevec]
Generated description
Pinjevec is a small stream in southwestern Slovenia that serves as a tributary of the Dragonja River near the Adriatic coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pinjevec Target entity description: Pinjevec is a small stream in southwestern Slovenia that serves as a tributary of the Dragonja River near the Adriatic coast.
-
A.
Pinezići
Pinezići is a small coastal village and tourist settlement on the Croatian island of Krk in the Adriatic Sea.
-
B.
Piva
Piva is a river in Montenegro and Bosnia and Herzegovina known for its deep canyon, hydroelectric dam, and role as a headwater of the Drina River.
-
C.
Pojuca
Pojuca is a municipality in the Brazilian state of Bahia that forms part of the greater Salvador metropolitan area.
-
D.
Povljana
Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
-
E.
Prigorje
Prigorje is a cultural and historical region in northern Croatia, situated along the slopes of Medvednica Mountain near Zagreb, known for its traditional rural settlements and Kajkavian-speaking population.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ce0230819089a20114a755a75a |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5bbc07c819098fd768e2e6b5b3e |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb706eb348190baba254656fc0e71 |
completed | May 9, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7812bf08190918c1410565633e2 |
completed | May 9, 2026, 10:38 p.m. |
Created at: April 10, 2026, 4:53 a.m.