Triple
T2752172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OMSI |
E61013
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | OMSI |
E61013
|
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: OMSI | Statement: [OMSI, shortName, OMSI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMSI Context triple: [OMSI, shortName, OMSI]
-
A.
OMSI
chosen
OMSI is a major science and technology museum in Portland, Oregon, featuring interactive exhibits, a planetarium, and educational programs for all ages.
-
B.
Simulator
Simulator is Apple's iOS and watchOS device emulation tool bundled with Xcode, used by developers to run and test apps on virtual Apple devices.
-
C.
RollerCoaster Tycoon
RollerCoaster Tycoon is a classic construction and management simulation game series where players design, build, and operate their own amusement parks and roller coasters.
-
D.
COSI (Center of Science and Industry)
COSI (Center of Science and Industry) is a large interactive science museum and research center in Columbus, Ohio, known for hands-on exhibits and educational programs in science, technology, and industry.
-
E.
OSMRE
OSMRE is a U.S. federal agency within the Department of the Interior responsible for regulating surface coal mining and overseeing the reclamation of abandoned mine lands.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb6d08088190b489de15a120ba3f |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbd86ac88190a4aba335ef9942e4 |
completed | March 10, 2026, 6:36 a.m. |
Created at: March 6, 2026, 9:56 p.m.