Triple
T6182874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velence |
E137984
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Velencefürdő |
E137984
|
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: Velencefürdő | Statement: [Velence, hasSubdivision, Velencefürdő]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velencefürdő Context triple: [Velence, hasSubdivision, Velencefürdő]
-
A.
Velence
chosen
Velence is a Hungarian town and popular resort destination on the shores of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
-
B.
Kékes
Kékes is the highest peak in Hungary, known for its popular hiking trails and ski resort facilities.
-
C.
Baturité
Baturité is a municipality in the state of Ceará in northeastern Brazil, known for its mountainous terrain and relatively mild climate.
-
D.
Gellért-hegy
Gellért-hegy is a prominent hill overlooking the Danube in Budapest, known for its panoramic city views, historic monuments, and the iconic Citadella fortress.
-
E.
Lővérek Hills
Lővérek Hills is a forested hilly area near Sopron in western Hungary, known for its hiking trails, lookout towers, and recreational opportunities.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06100c2b0819097f287e86f63d590 |
completed | March 22, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141c30d28819095d719adc421b02d |
completed | March 23, 2026, 1:36 p.m. |
Created at: March 22, 2026, 4:19 p.m.