Triple
T34783557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bibliotheca Palatina |
E1002738
|
entity |
| Predicate | currentLocationOfMajority |
P84913
|
FINISHED |
| Object | Vatican City |
—
|
NE NERFINISHED |
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: Vatican City | Statement: [Bibliotheca Palatina, currentLocationOfMajority, Vatican City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentLocationOfMajority Context triple: [Bibliotheca Palatina, currentLocationOfMajority, Vatican City]
-
A.
majorityPosition
Indicates that the referenced position is held by more than half of the relevant group or decision-making body.
-
B.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
-
C.
globalMajorityWithin
Indicates that one group or category constitutes the majority of a population or set when considered at a global or overall scale within a specified context.
-
D.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
E.
hostsMajorityOf
chosen
Indicates that one entity accommodates, contains, or supports more than half of the members or instances of 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: May 3, 2026, 3:59 p.m.