Triple
T17131123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jovian Infrared Auroral Mapper |
E415722
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
JIRAM
JIRAM is an infrared imaging spectrometer aboard NASA's Juno spacecraft designed to study Jupiter's auroras and atmospheric composition.
|
E1252748
|
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: JIRAM | Statement: [Jovian Infrared Auroral Mapper, abbreviation, JIRAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JIRAM Context triple: [Jovian Infrared Auroral Mapper, abbreviation, JIRAM]
-
A.
Jaramana
Jaramana is a densely populated suburban city near Damascus in southwestern Syria, known for its diverse population and large communities of internally displaced people and refugees.
-
B.
Jiwere
Jiwere is the self-designated name of the Otoe people and their language, part of the Siouan language family of Native North America.
-
C.
Jamaran
Jamaran is a northern Tehran neighborhood best known as the former residence and political base of Ayatollah Ruhollah Khomeini.
-
D.
Jarma
Jarma is a feminine given name most notably borne by American actress Jarma Lewis.
-
E.
Jarinu
Jarinu is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes, mild climate, and agricultural activities.
- 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: JIRAM Triple: [Jovian Infrared Auroral Mapper, abbreviation, JIRAM]
Generated description
JIRAM is an infrared imaging spectrometer aboard NASA's Juno spacecraft designed to study Jupiter's auroras and atmospheric composition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JIRAM Target entity description: JIRAM is an infrared imaging spectrometer aboard NASA's Juno spacecraft designed to study Jupiter's auroras and atmospheric composition.
-
A.
Jaramana
Jaramana is a densely populated suburban city near Damascus in southwestern Syria, known for its diverse population and large communities of internally displaced people and refugees.
-
B.
Jiwere
Jiwere is the self-designated name of the Otoe people and their language, part of the Siouan language family of Native North America.
-
C.
Jamaran
Jamaran is a northern Tehran neighborhood best known as the former residence and political base of Ayatollah Ruhollah Khomeini.
-
D.
Jarma
Jarma is a feminine given name most notably borne by American actress Jarma Lewis.
-
E.
Jarinu
Jarinu is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes, mild climate, and agricultural activities.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02a9fbc81909d820d29417aa55c |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01414cd5d481908d11eb230d2283cd |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a01422c0f088190b162c7086bc93585 |
completed | May 11, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0142f274ec819081eb15a3ea0e1b13 |
completed | May 11, 2026, 2:46 a.m. |
Created at: April 10, 2026, 5:36 a.m.