Triple
T4013323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagizman |
E90696
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Aras River |
E122249
|
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: Aras River | Statement: [Kagizman, locatedOnRiver, Aras River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aras River Context triple: [Kagizman, locatedOnRiver, Aras River]
-
A.
Aras River
chosen
The Aras River is a major transboundary river in the South Caucasus and surrounding regions, forming parts of international borders and ultimately flowing into the Kura River.
-
B.
Ararat River
The Ararat River is a tributary waterway in the southeastern United States that feeds into the Yadkin River system.
-
C.
Enguri River
The Enguri River is a major river in western Georgia that flows from the Caucasus Mountains to the Black Sea and is notable for the Enguri Dam, one of the tallest arch dams in the world.
-
D.
Zeravshan River
The Zeravshan River is a major Central Asian waterway flowing through Tajikistan and Uzbekistan, historically vital for irrigation and the development of cities along the Silk Road.
-
E.
Gediz River
The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa893ce08190b8fe49a11123738d |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c73e6048190a59a8d8bc12c907d |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.