Triple
T14006316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardinal-Bishop of Porto e Santa Rufina |
E336955
|
entity |
| Predicate | hasTypeOfOrdinary |
P112120
|
FINISHED |
| Object | cardinal-bishop |
—
|
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: cardinal-bishop | Statement: [Cardinal-Bishop of Porto e Santa Rufina, hasTypeOfOrdinary, cardinal-bishop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfOrdinary Context triple: [Cardinal-Bishop of Porto e Santa Rufina, hasTypeOfOrdinary, cardinal-bishop]
-
A.
isOrdinaryOf
Indicates that one entity is the standard, non-special, or typical instance or form of another entity.
-
B.
hasStandardType
Indicates that something conforms to or is categorized under a defined standard classification or type.
-
C.
hasTypeOfReference
Indicates that one entity uses or is associated with a particular kind or category of reference (such as a citation, pointer, or referential link) to another entity.
-
D.
isOrdinaryShareClassOf
Indicates that a given share class is an ordinary (common) share class belonging to a particular company or security.
-
E.
hasOrdinaryTitle
Indicates that an entity holds a standard, non-noble or non-honorific title associated with its role or position.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed327d88190a53af5768468a8eb |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:19 p.m.