Triple
T9685832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Hungary |
E234404
|
entity |
| Predicate | traversedByRiver |
P165
|
FINISHED |
| Object | Körös River |
E237331
|
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: Körös River | Statement: [Eastern Hungary, traversedByRiver, Körös River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Körös River Context triple: [Eastern Hungary, traversedByRiver, Körös River]
-
A.
Körös
chosen
Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
-
B.
Eger River
The Eger River is a watercourse in Central Europe that flows through parts of Germany and the Czech Republic, serving as a tributary of the Elbe River.
-
C.
Zala River
The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
-
D.
Vouga River
The Vouga River is a river in central Portugal that flows through the Viseu District before emptying into the Atlantic Ocean near Aveiro.
-
E.
Draga River
The Draga River is a mountain river in northern Montenegro that flows through the rugged landscapes of Durmitor National Park, contributing to its dramatic canyons and alpine scenery.
- 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_69cd9cd2dab481908e0d3fed28de9d40 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32a3c9c6881908757c63a0ccdc54e |
completed | April 6, 2026, 3:36 a.m. |
Created at: March 30, 2026, 8:16 p.m.