Triple
T19961823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cemetery of Segrate (project) |
E479831
|
entity |
| Predicate | languageOfTheoreticalContext |
P138040
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [Cemetery of Segrate (project), languageOfTheoreticalContext, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfTheoreticalContext Context triple: [Cemetery of Segrate (project), languageOfTheoreticalContext, Italian]
-
A.
theoreticalText
Indicates that one entity is a theoretical or conceptual written work about, or used as a basis for understanding, the other entity.
-
B.
theoreticalTradition
Indicates that one entity belongs to, is framed within, or is analyzed according to the theoretical tradition represented by the other entity.
-
C.
languageOfInstitutionalContext
Indicates the language used as the primary medium of communication within an institutional setting or context.
-
D.
theorizedInField
Indicates that a theory, idea, or hypothesis was formulated or developed within a particular academic or scientific field.
-
E.
theoreticalInspiration
Indicates that one entity serves as a conceptual or intellectual source of ideas, models, or frameworks that inform or shape the theory or approach of another entity.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af51b4c81909ba156a489cbc551 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:54 p.m.