Triple
T17407982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perseverance |
E423269
|
entity |
| Predicate | hasInstrument |
P35
|
FINISHED |
| Object | MEDA |
—
|
NE NERFINISHED |
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: MEDA | Statement: [Perseverance, hasInstrument, MEDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEDA Context triple: [Perseverance, hasInstrument, MEDA]
-
A.
MEDA
chosen
MEDA is a suite of environmental sensors on NASA's Perseverance rover that measures Martian weather and atmospheric conditions.
-
B.
Mede
The Medes were an ancient Iranian people who inhabited the region of Media in northwestern Iran and played a key role in the downfall of the Assyrian Empire.
-
C.
MaMaMedia
MaMaMedia is an early internet company focused on providing educational, interactive online experiences for children.
-
D.
Mediasch
Mediasch is the German name for Mediaș, a historic Transylvanian town in present-day Romania known for its medieval architecture and fortified churches.
-
E.
MDE
MDE is the IATA airport code for José María Córdova International Airport, the main international gateway serving Medellín, Colombia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b08d5a881909e7a5b2ae2c60898 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.