Triple
T36994088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 行基 |
E915182
|
entity |
| Predicate | yearOfHighPriestAppointment |
P196887
|
FINISHED |
| Object | 745 |
—
|
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: 745 | Statement: [行基, yearOfHighPriestAppointment, 745]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfHighPriestAppointment Context triple: [行基, yearOfHighPriestAppointment, 745]
-
A.
successorAsHighPriestOfAmun
Indicates that one individual directly followed another in holding the position of High Priest of Amun.
-
B.
yearPyramidInaugurated
Indicates the year in which a pyramid was officially inaugurated or opened.
-
C.
pharaohReign
Indicates that a specified individual ruled as pharaoh over a particular realm during a given time period.
-
D.
yearOfReign
Indicates the specific year or span of years during which a ruler or authority held official power or reigned.
-
E.
lastKnownHieroglyphicInscriptionYear
Indicates the year in which the final or most recent known hieroglyphic inscription associated with an entity was created or recorded.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fe6c7fc4388190aa88993d00872d7f |
completed | May 8, 2026, 11:06 p.m. |
Created at: May 3, 2026, 4:14 p.m.