Triple
T17416724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunsen cell |
E423508
|
entity |
| Predicate | anodeMaterial |
P127365
|
FINISHED |
| Object | zinc |
—
|
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: zinc | Statement: [Bunsen cell, anodeMaterial, zinc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anodeMaterial Context triple: [Bunsen cell, anodeMaterial, zinc]
-
A.
counterElectrodeMaterial
Indicates the material used to form the counter electrode in an electrochemical or related device.
-
B.
anodeFunction
Indicates that something serves as or relates to the functional role of an anode within an electrical or electrochemical system.
-
C.
electrodeType
Indicates the specific kind or classification of an electrode associated with an entity or used in a given context.
-
D.
hasAnion
Indicates that one entity possesses, contains, or is associated with another entity functioning as its anion (negatively charged ion).
-
E.
primaryTargetMaterial
Indicates the material that serves as the main or principal target in a given process, action, or interaction.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44232ecdc8190ac8958c1780fea19 |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.