Triple
T19891751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-94 |
E478046
|
entity |
| Predicate | payload |
P12202
|
FINISHED |
| Object | MSL-1R |
—
|
NE NERFINISHED |
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: MSL-1R | Statement: [STS-94, payload, MSL-1R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSL-1R Context triple: [STS-94, payload, MSL-1R]
-
A.
MSL-1
chosen
MSL-1 is the abbreviated designation for a Space Shuttle microgravity science mission focused on materials and fluid physics experiments in low Earth orbit.
-
B.
MSL
MSL is the three-letter IATA airport code for Northwest Alabama Regional Airport, serving the Florence–Muscle Shoals area in Alabama, United States.
-
C.
MSL
MSL is a NASA mission featuring the Curiosity rover, designed to explore Mars’ surface and assess its past and present habitability.
-
D.
MSL
MSL is the three-letter National Rail station code assigned to Mossley railway station in Greater Manchester, England.
-
E.
MSL
MSL is a graduate-level academic degree that provides non-lawyers with a foundational understanding of legal principles and their application in various professional fields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590ed7988190bc6b610d1f4fa194 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.