Triple
T15724557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babylonian kingship ideology |
E381187
|
entity |
| Predicate | hasExpressionIn |
P119932
|
FINISHED |
| Object | royal inscriptions |
—
|
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: royal inscriptions | Statement: [Babylonian kingship ideology, hasExpressionIn, royal inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpressionIn Context triple: [Babylonian kingship ideology, hasExpressionIn, royal inscriptions]
-
A.
hasExpression
Indicates that an entity displays or possesses a particular facial or emotional expression.
-
B.
hasLowExpressionIn
Indicates that a given entity (such as a gene or protein) is present at a relatively low level or activity within a specified context, such as a tissue, cell type, or condition.
-
C.
isPartOfExpression
Indicates that something functions as a component or constituent element within a larger expression.
-
D.
hasCoreExpression
Indicates that one entity serves as the fundamental or primary expression or representation of another entity.
-
E.
hasLocalExpression
Indicates that something has a specific form, representation, or manifestation that is valid or defined only within a particular local context or region.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb1fdd4819088f3e243263e5f73 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0094af5b481908ad51d5d7ba0c726 |
completed | April 15, 2026, 9:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.