Triple
T10019009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massimiliano |
E199567
|
entity |
| Predicate | orthographicStress |
P12752
|
FINISHED |
| Object | penultimate syllable "lia" |
—
|
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: penultimate syllable "lia" | Statement: [Massimiliano, orthographicStress, penultimate syllable "lia"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orthographicStress Context triple: [Massimiliano, orthographicStress, penultimate syllable "lia"]
-
A.
orthographicProperty
chosen
Indicates a relationship where a specific written or spelling-related characteristic is attributed to or associated with an entity.
-
B.
orthographicVariant
Indicates that two written forms are different spellings or orthographic representations of the same linguistic item.
-
C.
orthographicMedium
Indicates the writing system, script, or orthographic form through which something (such as a text, name, or expression) is represented.
-
D.
orthographicPattern
Indicates a relationship where entities share or follow a specific arrangement of written symbols, such as spelling or letter patterns.
-
E.
hasOrthographicReform
Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4f3a988190892cc698109be8b8 |
completed | April 2, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:53 p.m.