Triple
T2103598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tisza |
E37143
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Maros (Mureș) |
E52991
|
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: Maros (Mureș) | Statement: [Tisza, hasTributary, Maros (Mureș)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maros (Mureș) Context triple: [Tisza, hasTributary, Maros (Mureș)]
-
A.
Mureș River
chosen
The Mureș River is a significant Central European waterway that flows through Transylvania and western Romania before joining the Tisza River in Hungary.
-
B.
Olt River
The Olt River is one of Romania’s longest and most significant rivers, flowing southward through Transylvania and Wallachia before joining the Danube.
-
C.
Dâmbovița River
The Dâmbovița River is a central Romanian waterway that flows through and historically shaped the development of Bucharest.
-
D.
Tisa River
The Tisa River is a major Central and Eastern European waterway that flows through countries including Ukraine, Romania, Hungary, Slovakia, and Serbia before joining the Danube.
-
E.
Fier River
The Fier River is a significant watercourse in southeastern France that flows through the Alps and joins the Rhône, known for its dramatic gorges and scenic landscapes.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabf7cdc81909636dff34badc1c5 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3069f78c819092a6d9d903e4df13 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:43 p.m.