Triple
T17416738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunsen cell |
E423508
|
entity |
| Predicate | differenceFromGroveCell |
P61682
|
FINISHED |
| Object | uses carbon instead of platinum as 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: uses carbon instead of platinum as cathode | Statement: [Bunsen cell, differenceFromGroveCell, uses carbon instead of platinum as cathode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromGroveCell Context triple: [Bunsen cell, differenceFromGroveCell, uses carbon instead of platinum as cathode]
-
A.
differenceFromStates
Indicates that one state or condition is distinct from, or deviates in some way from, another state or condition.
-
B.
numberOfCells
Indicates the total count of individual cells associated with or contained in a given entity.
-
C.
pointDifference
Indicates the numerical difference in points or scores between two compared entities.
-
D.
differIn
chosen
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
E.
differenceFromUDP
Indicates a relationship where something is characterized or measured in terms of how it differs from UDP (User Datagram Protocol) in behavior, properties, or implementation.
- 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_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. |
Created at: April 10, 2026, 5:46 a.m.