Triple
T8989425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebmaatre (attributed in some sources) |
E214750
|
entity |
| Predicate | sourceTypeForAttribution |
P61039
|
FINISHED |
| Object | secondary scholarly sources |
—
|
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: secondary scholarly sources | Statement: [Nebmaatre (attributed in some sources), sourceTypeForAttribution, secondary scholarly sources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceTypeForAttribution Context triple: [Nebmaatre (attributed in some sources), sourceTypeForAttribution, secondary scholarly sources]
-
A.
usesSourceType
Indicates that one entity makes use of, relies on, or operates based on a particular type or category of source.
-
B.
mainSourceType
Indicates the primary category or kind of source from which something originates or is derived.
-
C.
sourceCategory
chosen
Indicates the classification or type from which something originates or is derived.
-
D.
currentAttribution
Indicates that responsibility, authorship, or credit for something is presently assigned to a particular entity.
-
E.
survivingSourceType
Indicates the type or category of the source that still exists or remains available as evidence of something.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687205c88190a4cdf12ee2cdfd14 |
completed | April 1, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:04 p.m.