Triple
T9685770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zagyva |
E234402
|
entity |
| Predicate | dischargesInto |
P4497
|
FINISHED |
| Object |
Tisza at Szolnok
Tisza at Szolnok is the stretch of Hungary’s Tisza River flowing through the city of Szolnok, an important regional hub and confluence point with the Zagyva River.
|
E815341
|
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: Tisza at Szolnok | Statement: [Zagyva, dischargesInto, Tisza at Szolnok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tisza at Szolnok Context triple: [Zagyva, dischargesInto, Tisza at Szolnok]
-
A.
Sárospatak
Sárospatak is a historic town in northeastern Hungary, renowned for its medieval castle and role as a cultural and educational center in the region.
-
B.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
C.
Hévíz
Hévíz is a Hungarian spa town famous for its large natural thermal lake and wellness tourism.
-
D.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
E.
Ségny
Ségny is a small commune in eastern France’s Ain department, situated near the Swiss border in the Auvergne-Rhône-Alpes region.
- 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: Tisza at Szolnok Triple: [Zagyva, dischargesInto, Tisza at Szolnok]
Generated description
Tisza at Szolnok is the stretch of Hungary’s Tisza River flowing through the city of Szolnok, an important regional hub and confluence point with the Zagyva River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tisza at Szolnok Target entity description: Tisza at Szolnok is the stretch of Hungary’s Tisza River flowing through the city of Szolnok, an important regional hub and confluence point with the Zagyva River.
-
A.
Sárospatak
Sárospatak is a historic town in northeastern Hungary, renowned for its medieval castle and role as a cultural and educational center in the region.
-
B.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
C.
Hévíz
Hévíz is a Hungarian spa town famous for its large natural thermal lake and wellness tourism.
-
D.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
E.
Ségny
Ségny is a small commune in eastern France’s Ain department, situated near the Swiss border in the Auvergne-Rhône-Alpes region.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9cd2dab481908e0d3fed28de9d40 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1910b7c148190b9061b1ce0520e8b |
completed | April 4, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d193150c00819080ed0fbb050b60bf |
completed | April 4, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d19416efd48190865d0178e5e893fa |
completed | April 4, 2026, 10:43 p.m. |
Created at: March 30, 2026, 8:16 p.m.