Triple
T2393950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mendelevium |
E47604
|
entity |
| Predicate | firstSynthesisTarget |
P38184
|
FINISHED |
| Object | einsteinium-253 |
—
|
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: einsteinium-253 | Statement: [mendelevium, firstSynthesisTarget, einsteinium-253]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSynthesisTarget Context triple: [mendelevium, firstSynthesisTarget, einsteinium-253]
-
A.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
B.
primaryTargetType
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
-
C.
firstProductionType
Indicates the type or category of the initial production associated with an entity, such as its first manufacturing, creation, or release process.
-
D.
secondaryTarget
Indicates that an entity serves as an additional or subordinate target in relation to a primary target within a given context or action.
-
E.
notableFirstSpectrumTarget
Indicates that an entity is recognized as the first significant or historically important target observed or analyzed in a particular spectrum.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc87827d88190bb2351a688e6de32 |
completed | March 7, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc682d094819081a96ffb77c4c42a |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:57 p.m.