Triple
T3290747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEIR |
E69093
|
entity |
| Predicate | usesIonType |
P47767
|
FINISHED |
| Object | lead ions |
—
|
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: lead ions | Statement: [LEIR, usesIonType, lead ions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesIonType Context triple: [LEIR, usesIonType, lead ions]
-
A.
inductionType
Indicates the specific method or process by which something is brought into a state, condition, or role (e.g., how an entity is initiated, introduced, or caused to occur).
-
B.
electrodeType
Indicates the specific kind or classification of an electrode associated with an entity or used in a given context.
-
C.
IVType
Indicates the method or category of intravenous administration used in a medical or clinical context.
-
D.
usesElement
Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
-
E.
usedInType
Indicates that something serves as a component, element, or example within a particular type or category.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb05d0c908190a927d1af78e27de0 |
completed | March 8, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69ada421fadc8190b7c7d3c8afd20061 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada526764881908e4bd52938d5374d |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:10 p.m.