Triple
T23535631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SWEAP |
E576691
|
entity |
| Predicate | collaboratesWithInstrument |
P153155
|
FINISHED |
| Object | WISPR |
—
|
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: WISPR | Statement: [SWEAP, collaboratesWithInstrument, WISPR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WISPR Context triple: [SWEAP, collaboratesWithInstrument, WISPR]
-
A.
WISPR
chosen
WISPR is the wide-field imaging instrument aboard NASA’s Parker Solar Probe that captures visible-light images of the Sun’s corona and solar wind.
-
B.
WIS-100
WIS-100 is a state highway in Wisconsin that forms a major beltway route around the Milwaukee metropolitan area.
-
C.
WIS-57
WIS-57 is a state highway in Wisconsin that runs north–south, connecting the Milwaukee area to the Door Peninsula and serving as a key regional transportation route.
-
D.
WIS-42
WIS-42 is a state highway in Wisconsin that runs through the Door Peninsula and along the shores of Lake Michigan, serving as a scenic route to popular tourist destinations.
-
E.
WIS-19
WIS-19 is a state highway in Wisconsin that runs east–west across the south-central part of the state, connecting communities north of Madison.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae164f348190a6bde1a0dfc66389 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.