Triple
T24720353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Horizons science team |
E612275
|
entity |
| Predicate | analyzesDataFrom |
P170
|
FINISHED |
| Object | heliospheric and space environment measurements by New Horizons |
—
|
LITERAL 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: heliospheric and space environment measurements by New Horizons | Statement: [New Horizons science team, analyzesDataFrom, heliospheric and space environment measurements by New Horizons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analyzesDataFrom Context triple: [New Horizons science team, analyzesDataFrom, heliospheric and space environment measurements by New Horizons]
-
A.
helpsAnalyze
Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
-
B.
dataAnalysisEnd
Indicates that a data analysis process or activity has been completed or brought to an end.
-
C.
analyzes
chosen
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
D.
analysisType
Indicates the specific kind or category of analysis being applied or performed in relation to an entity or dataset.
-
E.
data
Indicates that one entity serves as informational content, measurements, or recorded values associated with another entity.
- F. None of above.
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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 3:40 a.m.