Triple
T14746963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SkyCoaster |
E346497
|
entity |
| Predicate | hasManufacturer |
P4022
|
FINISHED |
| Object | Sky Fun 1 Inc. |
E1117953
|
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: Sky Fun 1 Inc. | Statement: [SkyCoaster, hasManufacturer, Sky Fun 1 Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky Fun 1 Inc. Context triple: [SkyCoaster, hasManufacturer, Sky Fun 1 Inc.]
-
A.
Sky Fun 1 Inc.
chosen
Sky Fun 1 Inc. is an amusement ride design company best known for creating the SkyCoaster thrill attraction found in theme and amusement parks worldwide.
-
B.
Out of the Blue Enterprises
Out of the Blue Enterprises is a children's television production company best known for creating and producing educational preschool series such as Daniel Tiger's Neighborhood.
-
C.
Airship Entertainment
Airship Entertainment is the independent comic publisher best known for producing and distributing the steampunk webcomic series "Girl Genius."
-
D.
Moonshot Entertainment
Moonshot Entertainment is a television and film production company known for producing the legal drama series "Your Honor."
-
E.
SKYMARK
SKYMARK is the airline callsign used by Skymark Airlines, a Japanese low-cost carrier based in Tokyo.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d116e88190828b163b18d80f68 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ce843a481908f376172d4a8b70a |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.