Triple
T25751471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRACERS mission |
E648478
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites
Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites is a NASA heliophysics mission consisting of twin spacecraft designed to study magnetic reconnection and charged particle dynamics in Earth’s polar cusp regions.
|
E1695480
|
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: Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites | Statement: [TRACERS mission, fullName, Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites]
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: Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites Triple: [TRACERS mission, fullName, Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites]
Generated description
Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites is a NASA heliophysics mission consisting of twin spacecraft designed to study magnetic reconnection and charged particle dynamics in Earth’s polar cusp regions.
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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd7ef3c48190b5f1b3b4e9cecb2b |
completed | May 2, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10cc0da1b08190833dc613bc46ce79 |
completed | May 22, 2026, 9:35 p.m. |
| NEDg | Description generation | batch_6a10cc9f320c8190b958be1f0075cd8f |
completed | May 22, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10ce00cda08190a1534b9ce1cf896a |
completed | May 22, 2026, 9:43 p.m. |
Created at: April 22, 2026, 4:35 a.m.