Triple
T14132083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeta Banovina |
E350193
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Zeta River |
E698252
|
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: Zeta River | Statement: [Zeta Banovina, namedAfter, Zeta River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeta River Context triple: [Zeta Banovina, namedAfter, Zeta River]
-
A.
Zeta River
chosen
Zeta River is a river in Montenegro and Bosnia and Herzegovina known for its clear waters and role as a tributary of the Morača River.
-
B.
Ziz River
The Ziz River is a major river in eastern Morocco that flows through the Ziz Valley and supports several oases and settlements before continuing into Algeria.
-
C.
Atrek River
The Atrek River is a transboundary river in northeastern Iran and southern Turkmenistan that flows westward along their border before emptying into the southeastern Caspian Sea.
-
D.
Longai River
The Longai River is a tributary waterway in northeastern India that feeds into the Barak River system, contributing to the region’s drainage and ecology.
-
E.
Ulindi River
The Ulindi River is a major river in the eastern Democratic Republic of the Congo, known for flowing through remote rainforest regions and contributing significantly to the Congo River basin.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610cece88190b4a86500677e5938 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff99742618819083bba63ce9f27895 |
completed | May 9, 2026, 8:30 p.m. |
Created at: April 9, 2026, 11:24 p.m.