Triple
T6535449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jagalchi Festival |
E152346
|
entity |
| Predicate | nearbyAttraction |
P3449
|
FINISHED |
| Object | BIFF Square |
E152347
|
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: BIFF Square | Statement: [Jagalchi Festival, nearbyAttraction, BIFF Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BIFF Square Context triple: [Jagalchi Festival, nearbyAttraction, BIFF Square]
-
A.
BIFF Square
chosen
BIFF Square is a popular cultural and entertainment district in Busan, South Korea, known for its film festival venues, street food, and shopping streets.
-
B.
BIFF Theater
BIFF Theater is the main open-air screening venue of the Busan International Film Festival, located within the Busan Cinema Center in South Korea.
-
C.
Livu Square
Livu Square is a popular public square in Riga’s Old Town known for its lively atmosphere, historic surroundings, and numerous cafes and events.
-
D.
Bayi Square
Bayi Square is a major public square and symbolic civic center in Nanchang, China, known for its historical and cultural significance.
-
E.
Cosmosquare
Cosmosquare is a waterfront district in Osaka, Japan, known for its modern urban development and proximity to major attractions like the Osaka Aquarium and Tempozan Harbor Village.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adc05da88190b402085954cec8e0 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d532b5348190986cf30883ed147b |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:46 p.m.