Triple
T7670148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tivoli Park |
E173725
|
entity |
| Predicate | localName |
P657
|
FINISHED |
| Object | Park Tivoli |
E173725
|
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: Park Tivoli | Statement: [Tivoli Park, localName, Park Tivoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park Tivoli Context triple: [Tivoli Park, localName, Park Tivoli]
-
A.
Tivoli Gardens
Tivoli Gardens is a historic amusement park and pleasure garden in central Copenhagen, renowned for its charming rides, landscaped gardens, and cultural events.
-
B.
Tivoli Park
chosen
Tivoli Park is the largest and most famous public park in Ljubljana, Slovenia, known for its landscaped gardens, walking paths, and cultural venues.
-
C.
Amager Strandpark
Amager Strandpark is a popular seaside park and artificial beach in Copenhagen known for its long sandy shoreline, recreational facilities, and views of the Øresund Strait.
-
D.
Skansen
Skansen is an open-air museum and zoo in Stockholm that showcases traditional Swedish culture, architecture, and wildlife.
-
E.
Vondelpark
Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c5538881908139881daf41151a |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a22442dc8190a26c966e7b06f1a9 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4 p.m.