Triple
T22998883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 55 Cancri A |
E572581
|
entity |
| Predicate | hasMetallicity_[Fe/H] |
P62456
|
FINISHED |
| Object | about +0.3 |
—
|
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: about +0.3 | Statement: [55 Cancri A, hasMetallicity_[Fe/H], about +0.3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetallicity_[Fe/H] Context triple: [55 Cancri A, hasMetallicity_[Fe/H], about +0.3]
-
A.
typicalMetallicityRange
Indicates the usual or characteristic range of metallicity values within which something (such as a star, galaxy, or stellar population) is commonly found.
-
B.
hasChemicalAbundances
chosen
Indicates that an entity possesses specific quantities or relative proportions of one or more chemical substances.
-
C.
hasVerticalMetallicityGradient
Indicates that the metallicity of a system changes systematically as a function of vertical position or height.
-
D.
hasSimilarMetallicityTo
Indicates that two entities share a comparable or closely matching metallicity (i.e., abundance of elements heavier than helium).
-
E.
hasVeryLowMetallicity
Indicates that an entity possesses an extremely low abundance of elements heavier than helium relative to a reference standard.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f54ce88190930530958e2a1830 |
completed | April 29, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:50 p.m.