Triple
T325464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jem |
E6507
|
entity |
| Predicate | derivationType |
P12825
|
FINISHED |
| Object | diminutive |
—
|
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: diminutive | Statement: [Jem, derivationType, diminutive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivationType Context triple: [Jem, derivationType, diminutive]
-
A.
derivedFrom
Indicates that one entity originates, is obtained, or is developed from another source entity.
-
B.
demarcationType
Indicates the specific way in which a boundary or separation between entities is defined, marked, or categorized.
-
C.
differentiatedFrom
Indicates that one entity is distinguished or set apart from another by identifying differences between them.
-
D.
approximationType
Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
-
E.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e949364c8190bc2351f5413f5057 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2eb18bda48190ac3d96a61a6a684d |
completed | Feb. 28, 2026, 1:18 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.