Triple
T11922355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyrrhus |
E283687
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Afrin River |
E617372
|
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: Afrin River | Statement: [Cyrrhus, locatedOn, Afrin River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afrin River Context triple: [Cyrrhus, locatedOn, Afrin River]
-
A.
Afrin River
chosen
The Afrin River is a significant watercourse in northern Syria and southern Turkey that contributes to the Orontes River basin and supports agriculture and settlements along its course.
-
B.
Kilmez River
The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
-
C.
Keles River
The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
-
D.
Duhok River
The Duhok River is a waterway in the Kurdistan Region of Iraq that flows through and gives its name to the city of Duhok.
-
E.
Seyhan River
The Seyhan River is a major river in southern Turkey that flows through the city of Adana before emptying into the Mediterranean Sea.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e1b08481909ed291667035f330 |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471a856208190bb88254090c03ed0 |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.