Triple
T16039009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iller |
E389043
|
entity |
| Predicate | hasRightTributary |
P415
|
FINISHED |
| Object | Günz |
E930069
|
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: Günz | Statement: [Iller, hasRightTributary, Günz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Günz Context triple: [Iller, hasRightTributary, Günz]
-
A.
Günz
chosen
The Günz is a river in Bavaria, Germany, that flows through the district of Günzburg before joining the Danube.
-
B.
Gürün
Gürün is a town and district in central Turkey known for its historical sites and distinctive natural landscapes within Sivas Province.
-
C.
Gorgany
Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
-
D.
Göklen
Göklen is a Turkmen ethnic subgroup traditionally inhabiting parts of northeastern Iran and southwestern Turkmenistan, known for their distinct cultural and tribal identity.
-
E.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833eb90c8190b10dca3ce0793ddf |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd5acb48190a10e40074fffd425 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.