Triple
T14866691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Városliget |
E349632
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Városliget (Hungarian) |
E349632
|
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: Városliget (Hungarian) | Statement: [Városliget, hasNameInLanguage, Városliget (Hungarian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Városliget (Hungarian) Context triple: [Városliget, hasNameInLanguage, Városliget (Hungarian)]
-
A.
Városliget
chosen
Városliget is a large public city park in Budapest, Hungary, known for its cultural attractions, recreational spaces, and historic landmarks.
-
B.
Vajdahunyad (Hungarian)
Vajdahunyad is the Hungarian name for Hunedoara, a historic city in Transylvania, Romania, best known for its impressive Gothic-Renaissance Corvin Castle.
-
C.
Kisvárda, Hungary
Kisvárda is a small town in northeastern Hungary known for its historic castle, thermal baths, and role as a regional cultural and economic center.
-
D.
Parádsasvár
Parádsasvár is a small village in northern Hungary known for its scenic Mátra mountain surroundings and historic glassworks and castle.
-
E.
Balvanyos
Balvanyos is a Romanian mountain resort area known for its natural mineral springs, spa facilities, and scenic surroundings in the Eastern Carpathians.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5761c688190b4477cb081554b51 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72aad76c8190b024651483d8f9ff |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:55 a.m.