Triple
T29347945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebmaatre |
E744220
|
entity |
| Predicate | attestedInCorpus |
P60064
|
FINISHED |
| Object | Amarna letters (as royal name reference) |
—
|
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: Amarna letters (as royal name reference) | Statement: [Nebmaatre, attestedInCorpus, Amarna letters (as royal name reference)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attestedInCorpus Context triple: [Nebmaatre, attestedInCorpus, Amarna letters (as royal name reference)]
-
A.
hasPartOfCorpus
Indicates that one entity constitutes a component or segment of the overall corpus associated with another entity.
-
B.
attestedInWriting
Indicates that the relationship or fact is documented or confirmed in written form, such as in texts, records, or inscriptions.
-
C.
attestedFrom
Indicates the earliest point in time or source from which something is documented, recorded, or evidenced as existing or in use.
-
D.
alsoAttestedIn
chosen
Indicates that the same item, fact, or phenomenon is recorded or evidenced in another source, context, or location as well.
-
E.
corpus
Indicates that an entity is a collection or body of texts, documents, or linguistic data used as a unified set for analysis or reference.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669595a0881908ea97caf704fefb3 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:03 p.m.