Triple
T38159938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frutiger |
E952989
|
entity |
| Predicate | primaryClassification |
P81223
|
FINISHED |
| Object | humanist sans-serif |
—
|
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: humanist sans-serif | Statement: [Frutiger, primaryClassification, humanist sans-serif]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryClassification Context triple: [Frutiger, primaryClassification, humanist sans-serif]
-
A.
primaryClass
chosen
Indicates that one entity is the main or principal classification category to which another entity belongs.
-
B.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
C.
secondaryClassification
Indicates a secondary or additional categorization assigned to an entity beyond its primary classification.
-
D.
primaryConcept
Indicates that one concept is the main or central idea in relation to another concept or context.
-
E.
primarySignificance
Indicates that something has the greatest importance, relevance, or impact among a set of related things or factors.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.