Triple
T2103605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tisza |
E37143
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Tisa |
E109194
|
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: Tisa | Statement: [Tisza, knownAs, Tisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tisa Context triple: [Tisza, knownAs, Tisa]
-
A.
Tisa River
chosen
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.
-
B.
Brda River
The Brda River is a significant river in northern Poland that flows through the city of Bydgoszcz and is known for its scenic landscapes and recreational opportunities.
-
C.
Dunajec River
The Dunajec River is a picturesque river in southern Poland and northern Slovakia, renowned for its scenic gorge and popular rafting routes through the Pieniny Mountains.
-
D.
Körös
Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
-
E.
Zala River
The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
- 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_69ae652fc57881908eaec85edfebeb15 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:43 p.m.