Triple
T7618614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franck–Hertz experiment |
E172427
|
entity |
| Predicate | apparatusComponent |
P75566
|
FINISHED |
| Object | electron-emitting cathode |
—
|
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: electron-emitting cathode | Statement: [Franck–Hertz experiment, apparatusComponent, electron-emitting cathode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: apparatusComponent Context triple: [Franck–Hertz experiment, apparatusComponent, electron-emitting cathode]
-
A.
describesApparatus
Indicates that one entity provides a description or specification of an apparatus used by another entity or within a particular context.
-
B.
notableGroundEquipment
Indicates that there is ground-based equipment at or associated with an entity that is considered significant or noteworthy in some context.
-
C.
missionEquipment
Indicates that certain equipment is assigned to, used for, or associated with carrying out a specific mission.
-
D.
hardwareComponent
chosen
Indicates that one entity is a physical hardware part or module that is contained in, attached to, or functionally part of another hardware system or device.
-
E.
crewLifeSupportCapability
Indicates the ability of a system or vehicle to provide and maintain necessary life support functions for its crew.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.