Triple
T16136926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Kart DS |
E391551
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Delfino Square |
E1127953
|
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: Delfino Square | Statement: [Mario Kart DS, notableTrack, Delfino Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delfino Square Context triple: [Mario Kart DS, notableTrack, Delfino Square]
-
A.
Delfino Plaza
chosen
Delfino Plaza is the vibrant central hub and main overworld area of Isle Delfino in the video game Super Mario Sunshine.
-
B.
Campos Square
Campos Square is a historic public square and bustling commercial hub located on Lagos Island in Lagos, Nigeria.
-
C.
Plaza Mariana
Plaza Mariana is a large religious and commercial complex in Mexico City that serves pilgrims visiting the nearby Basilica of Our Lady of Guadalupe.
-
D.
Zocodover Square
Zocodover Square is the main historic plaza of Toledo, Spain, long serving as the city’s social, commercial, and ceremonial hub.
-
E.
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.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a05148c8190bc2b98217fda23cc |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b574148190b9d5b725d7d113af |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.