Triple
T972707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EAPS |
E20978
|
entity |
| Predicate | studies |
P1945
|
FINISHED |
| Object | Earth’s atmosphere |
E6744
|
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: Earth’s atmosphere | Statement: [EAPS, studies, Earth’s atmosphere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earth’s atmosphere Context triple: [EAPS, studies, Earth’s atmosphere]
-
A.
Earth
Earth is the third planet from the Sun and the only known world to support life, characterized by vast oceans, diverse ecosystems, and a protective atmosphere.
-
B.
Air
"Air" is a 2023 biographical sports drama film directed by Ben Affleck that chronicles Nike's pursuit of a young Michael Jordan, in which Matt Damon stars as talent scout Sonny Vaccaro.
-
C.
Oxygen
Oxygen is an American television network primarily known for its true-crime and reality programming, targeting a female-oriented audience.
-
D.
Global Atmosphere Watch
chosen
Global Atmosphere Watch is an international program that monitors and assesses changes in the Earth's atmosphere, particularly related to air quality and climate.
-
E.
Luchtcomponent
Luchtcomponent is the Dutch name for the air component of the Belgian Armed Forces, responsible for Belgium’s military aviation operations.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b44c38f08190997e141d424e9e04 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac170a00f481909da0394531ac24fe |
completed | March 7, 2026, 12:16 p.m. |
Created at: March 1, 2026, 7:40 p.m.