Triple
T22187018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MACRO – Museo d’Arte Contemporanea di Roma |
E548320
|
entity |
| Predicate | hasProgrammingStyle |
P52759
|
FINISHED |
| Object | experimental |
—
|
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: experimental | Statement: [MACRO – Museo d’Arte Contemporanea di Roma, hasProgrammingStyle, experimental]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgrammingStyle Context triple: [MACRO – Museo d’Arte Contemporanea di Roma, hasProgrammingStyle, experimental]
-
A.
programmingStyle
chosen
Indicates the particular approach, methodology, or paradigm an entity uses when writing or organizing code.
-
B.
programmingCharacteristic
Indicates a relationship where an entity possesses or exhibits a particular property, trait, or quality specifically related to programming.
-
C.
hasEngineeringStyle
Indicates that an entity possesses or exhibits a particular engineering approach, methodology, or design style in how it is created, structured, or operates.
-
D.
hasProgrammingFocus
Indicates that something is centered on, specialized in, or primarily concerned with programming.
-
E.
hasProgrammingModel
Indicates that one entity defines, specifies, or is associated with the programming model used or supported by another entity.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aaa32288190830f6dfc626fb26a |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.