Triple
T24918671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | List of popes |
E624059
|
entity |
| Predicate | identifiesOffice |
P157869
|
FINISHED |
| Object | supreme pontiff |
—
|
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: supreme pontiff | Statement: [List of popes, identifiesOffice, supreme pontiff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identifiesOffice Context triple: [List of popes, identifiesOffice, supreme pontiff]
-
A.
definesOfficeOf
Indicates that one entity specifies or establishes the official role, position, or office associated with another entity.
-
B.
denotesOfficeIn
Indicates that an entity holds or maintains an official office or branch located within a specified place or jurisdiction.
-
C.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
D.
specifiesOffice
Indicates that an entity is assigned to or associated with a particular office or official position.
-
E.
headquartersOfOffice
Indicates that a particular location serves as the main headquarters for a specified office or organizational unit.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 5:28 a.m.