Triple
T11264748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bălți |
E266653
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Răut River
The Răut River is a significant tributary of the Dniester in Moldova, flowing through several towns and cities, including Bălți and Orhei.
|
E964503
|
NE FINISHED |
How this triple was built (4 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: Răut River | Statement: [Bălți, locatedOn, Răut River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Răut River Context triple: [Bălți, locatedOn, Răut River]
-
A.
Luncavăț River
The Luncavăț River is a smaller watercourse in Romania that flows through Vâlcea County before joining the Olteț River.
-
B.
Strei River
The Strei River is a significant river in Transylvania, Romania, known for flowing through Hunedoara County and joining the Mureș River.
-
C.
Someș River
The Someș River is a major river in northwestern Romania that flows through cities like Cluj-Napoca and Satu Mare before joining the Tisza River.
-
D.
Gheorghești River
The Gheorghești River is a small river in Romania that serves as a right-bank tributary within the Olteț River basin.
-
E.
Bârsa River
The Bârsa River is a tributary watercourse in central Romania that flows through the historical region of Țara Bârsei and contributes to the local hydrological network of Brașov County.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Răut River Triple: [Bălți, locatedOn, Răut River]
Generated description
The Răut River is a significant tributary of the Dniester in Moldova, flowing through several towns and cities, including Bălți and Orhei.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Răut River Target entity description: The Răut River is a significant tributary of the Dniester in Moldova, flowing through several towns and cities, including Bălți and Orhei.
-
A.
Luncavăț River
The Luncavăț River is a smaller watercourse in Romania that flows through Vâlcea County before joining the Olteț River.
-
B.
Strei River
The Strei River is a significant river in Transylvania, Romania, known for flowing through Hunedoara County and joining the Mureș River.
-
C.
Someș River
The Someș River is a major river in northwestern Romania that flows through cities like Cluj-Napoca and Satu Mare before joining the Tisza River.
-
D.
Gheorghești River
The Gheorghești River is a small river in Romania that serves as a right-bank tributary within the Olteț River basin.
-
E.
Bârsa River
The Bârsa River is a tributary watercourse in central Romania that flows through the historical region of Țara Bârsei and contributes to the local hydrological network of Brașov County.
- F. None of above. chosen
Provenance (5 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f62fa15081909e7c71d8feda7391 |
completed | May 2, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_69f5ff815b748190932bfe163ea2847d |
completed | May 2, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6018b4088819092b8b97089068fae |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 8, 2026, 9:31 p.m.