Triple
T23878316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | yttrium |
E600126
|
entity |
| Predicate | naturalIsotopesCount |
P154309
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [yttrium, naturalIsotopesCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: naturalIsotopesCount Context triple: [yttrium, naturalIsotopesCount, 1]
-
A.
naturalIsotope
Indicates that one entity is a naturally occurring isotope form of another element or nuclide.
-
B.
numberOfIsotopesProduced
Indicates the quantity of distinct isotopes that are generated or obtained from a specified process, reaction, or source.
-
C.
isotopesCountObserved
Indicates the number of distinct isotopes of an element that have been experimentally observed or detected.
-
D.
isotopes
Indicates that two or more atomic nuclei are variants of the same chemical element that differ in neutron number (and thus mass number) but share the same number of protons.
-
E.
naturalAbundance
Indicates the typical proportion or percentage of a particular isotope or substance as it naturally occurs in a given environment or sample.
- F. None of above. chosen
Provenance (4 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cc032c9c81909986ae6f672c1ad1 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:23 p.m.