Triple
T15535163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Park |
E370320
|
entity |
| Predicate | languageName_en |
P3437
|
FINISHED |
| Object | Baby Park |
E370320
|
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: Baby Park | Statement: [Baby Park, languageName_en, Baby Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Park Context triple: [Baby Park, languageName_en, Baby Park]
-
A.
Baby Park
chosen
Baby Park is a chaotic, oval-shaped racetrack in the Mario Kart series known for its short laps and intense item-filled races.
-
B.
Baby Cham
Baby Cham is a Jamaican dancehall and reggae artist known for hits like "Ghetto Story" and his influential role in early-2000s dancehall music.
-
C.
Baby U
Baby U is an alias of U-God, the American rapper best known as a member of the influential hip hop group Wu-Tang Clan.
-
D.
Baby Corp
Baby Corp is the fictional, corporate-style organization of highly intelligent infants that manages baby-related operations in the Boss Baby animated film franchise.
-
E.
Babyland
Babyland is a family-friendly area within Bear Country USA where visitors can observe and learn about young and newborn animals in a safe, accessible 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d605b908190a18c63142c8bb854 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:06 a.m.