Triple
T9681008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hits |
E234280
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Chinese Café |
E797764
|
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: Chinese Café | Statement: [Hits, hasTrack, Chinese Café]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chinese Café Context triple: [Hits, hasTrack, Chinese Café]
-
A.
Chinese Café
chosen
"Chinese Café" is a song by Joni Mitchell from her 1982 album *Wild Things Run Fast*, reflecting on nostalgia, aging, and changing times.
-
B.
Chinese House
The Chinese House is an 18th-century Rococo garden pavilion in chinoiserie style located in Sanssouci Park in Potsdam, Germany.
-
C.
Kabuki Cafe
Kabuki Cafe is a quick-service food stand in the Japan Pavilion at EPCOT, known for serving sushi, kakigōri (shaved ice), and other Japanese snacks and beverages.
-
D.
Tea House restaurant
Tea House restaurant is a popular dining spot in Vancouver’s Stanley Park known for its scenic views and West Coast cuisine.
-
E.
Tula Tea Room
Tula Tea Room is an intimate, old-world style tea parlor located inside the Museum of Jurassic Technology in Los Angeles, offering visitors complimentary tea and refreshments in a contemplative setting.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9dcbe881908ae926a5b5eae759 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a3d77c48190b7fcde4708ca3811 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:16 p.m.