Triple
T32082824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lead I |
E819343
|
entity |
| Predicate | requiresElectrodesOn |
P198109
|
FINISHED |
| Object | right arm |
—
|
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: right arm | Statement: [Lead I, requiresElectrodesOn, right arm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresElectrodesOn Context triple: [Lead I, requiresElectrodesOn, right arm]
-
A.
hasElectrode
Indicates that one entity is equipped with, contains, or is associated with an electrode component.
-
B.
hasNumberOfElectrodes
Indicates the relationship that specifies how many electrodes are associated with a given entity.
-
C.
electrodeType
Indicates the specific kind or classification of an electrode associated with an entity or used in a given context.
-
D.
numberOfActiveElectrodes
Indicates the count of electrodes in a system or device that are currently active or functioning.
-
E.
hasElectrodeReaction
Indicates that an electrochemical system or component undergoes a specific chemical reaction at one of its electrodes.
- 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_69f348ff8ef88190931c08ba530a36bc |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
| PDg | Predicate description generation | batch_69fecb4be24481908bda6197d7fc32f4 |
completed | May 9, 2026, 5:51 a.m. |
Created at: May 1, 2026, 12:24 a.m.