Triple
T24027029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardiner, Egyptian Grammar |
E594991
|
entity |
| Predicate | editionMostCited |
P4629
|
FINISHED |
| Object | third edition |
—
|
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: third edition | Statement: [Gardiner, Egyptian Grammar, editionMostCited, third edition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editionMostCited Context triple: [Gardiner, Egyptian Grammar, editionMostCited, third edition]
-
A.
notableJournal
Indicates that the subject is a journal that is recognized as notable or significant in some relevant context.
-
B.
oftenCitedAs
Indicates that one entity is frequently referenced or mentioned as an example, source, or authority in relation to another entity.
-
C.
hasCitationImpact
Indicates that one entity (such as a publication, author, or venue) exerts measurable influence on scholarly work through citations it receives or generates.
-
D.
edition
chosen
Indicates that one entity is a specific version, issue, or release of another (typically a work such as a book, journal, or software).
-
E.
impactFactorRanking
Indicates the relative position or rank of an entity based on its impact factor compared to others in the same set or category.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76c083c819090784ecb42effbae |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:54 p.m.