Triple
T8378639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POES |
E197635
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | NOAA-10 |
E744552
|
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: NOAA-10 | Statement: [POES, hasComponent, NOAA-10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NOAA-10 Context triple: [POES, hasComponent, NOAA-10]
-
A.
NOAA-10
chosen
NOAA-10 was a U.S. National Oceanic and Atmospheric Administration polar-orbiting weather satellite used for global environmental monitoring and forecasting.
-
B.
NOAA-11
NOAA-11 was a U.S. National Oceanic and Atmospheric Administration weather satellite that provided global atmospheric and environmental data from a polar orbit.
-
C.
NOAA-19
NOAA-19 is a U.S. National Oceanic and Atmospheric Administration polar-orbiting weather satellite that provides global data for forecasting, climate monitoring, and environmental observation.
-
D.
NOAA-14
NOAA-14 is a U.S. National Oceanic and Atmospheric Administration weather satellite that provided polar-orbiting environmental observations for forecasting and climate monitoring.
-
E.
NOAA-16
NOAA-16 was a U.S. National Oceanic and Atmospheric Administration polar-orbiting weather satellite used for global environmental monitoring and forecasting.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c229708190b813f5e7e44e10d4 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0625cf881909deeb97a753ea7ea |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 6:02 p.m.