Triple
T14866706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Városliget |
E349632
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | City Park Lake |
E1127715
|
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: City Park Lake | Statement: [Városliget, hasAttraction, City Park Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Park Lake Context triple: [Városliget, hasAttraction, City Park Lake]
-
A.
City Park Lake
chosen
City Park Lake is a recreational lake in Budapest’s Városliget, known for boating in summer and ice skating in winter.
-
B.
Washington Park Lake
Washington Park Lake is a scenic man-made lake in Albany, New York’s historic Washington Park, popular for recreation, events, and as a central landscape feature of the park.
-
C.
Lake Park
Lake Park is a historic, Frederick Law Olmsted–designed public park in Milwaukee, Wisconsin, known for its scenic bluffs, trails, and views of Lake Michigan.
-
D.
Lake Park
Lake Park is a recreational lakefront park in Des Plaines, Illinois, known for its scenic water views, boating, and outdoor leisure activities.
-
E.
Lake Park
Lake Park is a public recreational park in Winona, Minnesota, known for its lakeside setting and outdoor amenities.
- 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_69fe7e7fc904819094269b7c785ead69 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:55 a.m.