Triple
T16921969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sample Analysis at Mars |
E410462
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | SAM |
E86320
|
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: SAM | Statement: [Sample Analysis at Mars, alternateName, SAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAM Context triple: [Sample Analysis at Mars, alternateName, SAM]
-
A.
SAM
SAM is the commonly used abbreviation for the South Australian Museum, a major natural history and cultural institution located in Adelaide, Australia.
-
B.
SAM
SAM is an online training and assessment platform used primarily in education for teaching and evaluating computer and digital literacy skills.
-
C.
SAM
SAM is the commonly used abbreviation for Stade Athlétique Montluçonnais, a French rugby union club.
-
D.
SAM
SAM is the common abbreviation for Sigma Alpha Mu, a historically Jewish but now inclusive collegiate social fraternity founded in 1909.
-
E.
SAM
chosen
SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdef7df881908b69aa3c4f50ef94 |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd3c488819089e3791c7e704baf |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:30 a.m.