Triple
T3921517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermium |
E88968
|
entity |
| Predicate | hasPositionInPeriodicTable |
P37375
|
FINISHED |
| Object | between einsteinium and mendelevium |
—
|
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: between einsteinium and mendelevium | Statement: [Fermium, hasPositionInPeriodicTable, between einsteinium and mendelevium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionInPeriodicTable Context triple: [Fermium, hasPositionInPeriodicTable, between einsteinium and mendelevium]
-
A.
positionInPeriodicTable
chosen
Indicates the placement or location of a chemical element within the structure of the periodic table.
-
B.
hasAtomicNumber
Indicates that one entity is the chemical element whose atomic number (number of protons in its nucleus) is given by the other entity.
-
C.
hasProtonNumber
Indicates that an entity (typically a chemical element or atom) possesses a specific number of protons in its nucleus.
-
D.
hasElectronConfiguration
Indicates that an entity (typically an atom or ion) possesses a specific arrangement of electrons in its atomic orbitals.
-
E.
hasNeutronNumber
Indicates that an entity (typically an atom or nuclide) has a specified number of neutrons in its nucleus.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee75eedcc81908088ff4dbb8be56b |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.