Triple
T17178829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOPITT |
E416927
|
entity |
| Predicate | relatedMission |
P36268
|
FINISHED |
| Object | Aura |
E1220462
|
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: Aura | Statement: [MOPITT, relatedMission, Aura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aura Context triple: [MOPITT, relatedMission, Aura]
-
A.
Aura
Aura is a popular reggaeton and Latin trap album by Puerto Rican singer Ozuna, known for its melodic style and chart-topping hits.
-
B.
Aura
Aura is a small municipality in southwestern Finland known for its rural landscapes and proximity to the city of Turku.
-
C.
Aura
Aura is a contemporary classical composition by Italian avant-garde composer and conductor Bruno Maderna.
-
D.
Aura
Aura is a celestial body or orbital point that serves as the primary reference path for the object known as Nibiru.
-
E.
Aura
chosen
Aura is a NASA Earth observation satellite focused on studying the atmosphere’s composition, air quality, and climate-related processes.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0f9a288190b0ddfb673bd8e84b |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148455afc8190931ba1316705ae0c |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.