Triple
T18110154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EA 24 |
E433450
|
entity |
| Predicate | scriptPurpose |
P130482
|
FINISHED |
| Object | to present same decree in three scripts |
—
|
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: to present same decree in three scripts | Statement: [EA 24, scriptPurpose, to present same decree in three scripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptPurpose Context triple: [EA 24, scriptPurpose, to present same decree in three scripts]
-
A.
sectionPurpose
Indicates that a section exists for the purpose of fulfilling or serving a specified function, role, or intended use.
-
B.
servicePurpose
Indicates that one entity serves as the purpose, goal, or intended function for which another entity (typically a service) exists or is provided.
-
C.
script
Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
-
D.
scriptType
Indicates the classification or category of a script, specifying what kind of script it is (e.g., its format, purpose, or scripting language type).
-
E.
scriptFeature
Indicates that a script includes, supports, or is characterized by a particular feature or capability.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd13cb48190bff06b472e34dd0e |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:28 a.m.