Triple
T6182907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gárdony |
E137985
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Gárdony (town center) |
E137985
|
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: Gárdony (town center) | Statement: [Gárdony, hasPart, Gárdony (town center)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gárdony (town center) Context triple: [Gárdony, hasPart, Gárdony (town center)]
-
A.
Gárdony
chosen
Gárdony is a Hungarian town and popular resort area on the southern shore of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
-
B.
Gozsdu Courtyard
Gozsdu Courtyard is a popular complex of interconnected courtyards in Budapest known for its vibrant nightlife, restaurants, bars, and cultural venues.
-
C.
Podgórze Market Square
Podgórze Market Square is a historic central square in Kraków’s Podgórze district, known for its 19th-century architecture and role as a local social and commercial hub.
-
D.
Hauptmarkt
Hauptmarkt is the historic main market square in Nuremberg, Germany, known for its daily market, Christmas fair, and prominent landmarks such as the Schöner Brunnen.
-
E.
Stadtmitte
Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
- 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.