Triple
T16921768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeolis Mons |
E410458
|
entity |
| Predicate | observedByInstrument |
P20345
|
FINISHED |
| Object | CTX |
E495756
|
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: CTX | Statement: [Aeolis Mons, observedByInstrument, CTX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CTX Context triple: [Aeolis Mons, observedByInstrument, CTX]
-
A.
CTX
chosen
CTX is a high-resolution context camera aboard NASA’s Mars Reconnaissance Orbiter used to image and map the Martian surface.
-
B.
TC
TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
-
C.
TC
TC is the standard abbreviation used to refer to an IEC technical committee responsible for developing international electrotechnical standards in a specific technical area.
-
D.
TC
TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
-
E.
TC
TC is the commonly used abbreviation for Transport Canada, the federal department responsible for transportation policies and programs in Canada.
- 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.