Triple
T9896147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osorkon II |
E182176
|
entity |
| Predicate | strengthenedOfficeOf |
P91036
|
FINISHED |
| Object | High Priest of Amun at Thebes |
—
|
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: High Priest of Amun at Thebes | Statement: [Osorkon II, strengthenedOfficeOf, High Priest of Amun at Thebes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strengthenedOfficeOf Context triple: [Osorkon II, strengthenedOfficeOf, High Priest of Amun at Thebes]
-
A.
reorganizedOfficeOf
Indicates that one entity has restructured, reshaped, or otherwise reorganized the organizational structure or functions of another entity’s office.
-
B.
servesAsOfficeOf
Indicates that one entity functions as the official office, headquarters, or administrative base for another entity.
-
C.
definesOfficeOf
Indicates that one entity specifies or establishes the official role, position, or office associated with another entity.
-
D.
typeOfOffice
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
E.
replacedOffice
Indicates that one office or position has been succeeded or taken over by another, replacing it in its former role or function.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4a9d2f4819086cfdd42b613cd8c |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:39 p.m.