Triple
T21885062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acamar |
E540383
|
entity |
| Predicate | hasParallaxMeasurement |
P126729
|
FINISHED |
| Object | measured by Hipparcos and Gaia missions |
—
|
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: measured by Hipparcos and Gaia missions | Statement: [Acamar, hasParallaxMeasurement, measured by Hipparcos and Gaia missions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParallaxMeasurement Context triple: [Acamar, hasParallaxMeasurement, measured by Hipparcos and Gaia missions]
-
A.
hasMeasurement
Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
-
B.
parallaxAccuracy
Indicates the degree of precision or reliability associated with a measured parallax value.
-
C.
hasMeasuredParameter
chosen
Indicates that an entity has a specific parameter that has been quantitatively measured or recorded.
-
D.
parallax
Indicates the apparent shift in an object’s position relative to a background when observed from two different viewpoints or at two different times.
-
E.
hasMeasurementMarkings
Indicates that one entity bears visible measurement indicators or scale markings on its surface for quantifying something.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118eabb008190ab6f1364ef4e6feb |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:05 p.m.