Triple
T11119671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Methane Sensor for Mars |
E262982
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MSM
MSM is a scientific instrument designed to detect and measure methane in the Martian atmosphere as part of Mars exploration missions.
|
E906355
|
NE FINISHED |
How this triple was built (4 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: MSM | Statement: [Methane Sensor for Mars, abbreviation, MSM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSM Context triple: [Methane Sensor for Mars, abbreviation, MSM]
-
A.
MSM
MSM is a post-nominal abbreviation used to denote recipients of the Meritorious Service Medal, an honor awarded for outstanding non-combat service.
-
B.
MSM
MSM is the commonly used abbreviation for the University of Cambridge’s Department of Materials Science and Metallurgy, a leading center for research and teaching in materials science.
-
C.
DMSM
The DMSM is a high-level U.S. military decoration awarded for exceptionally meritorious non-combat service in a joint duty capacity.
-
D.
MMSM
MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
-
E.
MSO
MSO is the National Rail station code for Moston railway station in Greater Manchester, England.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MSM Triple: [Methane Sensor for Mars, abbreviation, MSM]
Generated description
MSM is a scientific instrument designed to detect and measure methane in the Martian atmosphere as part of Mars exploration missions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MSM Target entity description: MSM is a scientific instrument designed to detect and measure methane in the Martian atmosphere as part of Mars exploration missions.
-
A.
MSM
MSM is the commonly used abbreviation for the University of Cambridge’s Department of Materials Science and Metallurgy, a leading center for research and teaching in materials science.
-
B.
MSM
MSM is a post-nominal abbreviation used to denote recipients of the Meritorious Service Medal, an honor awarded for outstanding non-combat service.
-
C.
DMSM
The DMSM is a high-level U.S. military decoration awarded for exceptionally meritorious non-combat service in a joint duty capacity.
-
D.
MMSM
MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
-
E.
MSO
MSO is the National Rail station code for Moston railway station in Greater Manchester, England.
- F. None of above. chosen
Provenance (5 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af7b72c8190a19dbcbb3a69fb5b |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8406988190837a16d7ad8048d1 |
completed | April 19, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69e4374700b881908ebb185ae020487b |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4399385c08190852c3cbd730a1f11 |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 8, 2026, 9:28 p.m.