Triple
T9685688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szamos |
E234400
|
entity |
| Predicate | hasRightTributary |
P415
|
FINISHED |
| Object | Someșul Mic |
E686222
|
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: Someșul Mic | Statement: [Szamos, hasRightTributary, Someșul Mic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Someșul Mic Context triple: [Szamos, hasRightTributary, Someșul Mic]
-
A.
Someșul Mic
chosen
Someșul Mic is a river in northwestern Romania that flows through the city of Cluj-Napoca and forms part of the Someș River system.
-
B.
Someșul Mare
Someșul Mare is a river in northwestern Romania that forms one of the main headwaters of the Someș (Szamos) River.
-
C.
Reșița
Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
-
D.
Vulcănești
Vulcănești is a town in southern Moldova that serves as one of the key urban centers of the autonomous region of Gagauzia.
-
E.
Cismuntincu
Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9cd0877c81909fde1989d946aae9 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af80358881909cdd91f2aed33ef6 |
completed | April 5, 2026, 12:40 a.m. |
Created at: March 30, 2026, 8:16 p.m.