Triple
T12398612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Academy of Arts |
E296187
|
entity |
| Predicate | hadTitleSystem |
P104627
|
FINISHED |
| Object | academic ranks for artists |
—
|
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: academic ranks for artists | Statement: [Imperial Academy of Arts, hadTitleSystem, academic ranks for artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadTitleSystem Context triple: [Imperial Academy of Arts, hadTitleSystem, academic ranks for artists]
-
A.
hadTitle
Indicates that an entity held or was assigned a specific title or formal designation.
-
B.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
C.
hasTitleFeature
Indicates that an entity possesses a specific characteristic, attribute, or element related to its title.
-
D.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
-
E.
hasTitleSince
Indicates that an entity has held a particular title continuously starting from a specified point in time.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd448f08190af425a569d7ed158 |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed4cea08190ad374d3f6a798053 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:54 p.m.