Triple
T3570427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inno e Marcia Pontificale |
E75555
|
entity |
| Predicate | adoptionCentury |
P10303
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Inno e Marcia Pontificale, adoptionCentury, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptionCentury Context triple: [Inno e Marcia Pontificale, adoptionCentury, 20th century]
-
A.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other entity.
-
B.
institutionalizedInCentury
Indicates that an institution, practice, or system became formally established or embedded during a specified century.
-
C.
century
chosen
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
D.
adoptedInDecade
Indicates that an entity was adopted or formally taken up during a specific ten-year time period (decade).
-
E.
adoptionPeak
Indicates the point in time at which the rate or level of adoption of something reaches its highest value.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c1ecb081909051bcc1f38eea31 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.