Triple
T6906526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meitnerium |
E159825
|
entity |
| Predicate | previousSystematicName |
P65
|
FINISHED |
| Object | unnilennium |
—
|
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: unnilennium | Statement: [Meitnerium, previousSystematicName, unnilennium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousSystematicName Context triple: [Meitnerium, previousSystematicName, unnilennium]
-
A.
formerName
chosen
Indicates that an entity was previously known by a different name in the past.
-
B.
formerDesignation
Indicates that an entity previously held a particular title, role, or designation that it no longer holds.
-
C.
previousGenus
Indicates that one genus was previously used as the taxonomic genus for an organism before being reclassified to another genus.
-
D.
IUPACName
Indicates the standardized chemical name assigned to a substance according to IUPAC nomenclature rules.
-
E.
previousNameUsedUntil
Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d98c3ab08190a1830c45578056ac |
completed | March 27, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.