Triple
T15338814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drau |
E366735
|
entity |
| Predicate | hasMajorTributary |
P415
|
FINISHED |
| Object | Dravinja |
E365639
|
NE FINISHED |
How this triple was built (2 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: Dravinja | Statement: [Drau, hasMajorTributary, Dravinja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dravinja Context triple: [Drau, hasMajorTributary, Dravinja]
-
A.
Dravinja
chosen
Dravinja is a river in northeastern Slovenia that flows through the Dravinja Valley before joining the Drava River.
-
B.
Drino River
The Drino River is a river in southern Albania that flows through Gjirokastër County and is a tributary of the Vjosë River.
-
C.
Vodnjese
Vodnjese is a local dialect of the Istriot language traditionally spoken in and around the town of Vodnjan in Istria.
-
D.
Salaca River
The Salaca River is a river in northern Latvia that flows from Lake Burtnieks to the Gulf of Riga, known for its scenic sandstone cliffs and role in the region’s natural and cultural heritage.
-
E.
Driva River
Driva River is a major river in central Norway that flows through the Oppdal region, known for its scenic valleys and salmon fishing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219635b08190a19dcaeb72240379 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:17 a.m.