Triple
T16920804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sentinel programme |
E410438
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sentinel-5P |
E1239351
|
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: Sentinel-5P | Statement: [Sentinel programme, hasPart, Sentinel-5P]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sentinel-5P Context triple: [Sentinel programme, hasPart, Sentinel-5P]
-
A.
Sentinel-5
Sentinel-5 is a European Earth observation satellite mission dedicated to monitoring atmospheric composition and air quality on a global scale.
-
B.
Sentinel-4
Sentinel-4 is a planned European Earth observation mission dedicated to monitoring atmospheric composition and air quality from geostationary orbit as part of the Copernicus programme.
-
C.
TROPOMI
chosen
TROPOMI is a high-resolution imaging spectrometer designed to measure atmospheric trace gases and air quality from space.
-
D.
Sentinel-3A
Sentinel-3A is a European Earth observation satellite in the Copernicus program, designed to monitor oceans, land, and atmospheric conditions with high-precision instruments.
-
E.
Ozone Monitoring Instrument
The Ozone Monitoring Instrument is a satellite-based spectrometer that measures global atmospheric ozone and other trace gases to support climate research and air quality monitoring.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdee252c81908621b2ca897416e9 |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232b75508190bcceaf0d338f8d02 |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:30 a.m.