Triple
T29058456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegean scripts |
E735457
|
entity |
| Predicate | scriptStructure |
P176318
|
FINISHED |
| Object | combination of syllabic and logographic signs |
—
|
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: combination of syllabic and logographic signs | Statement: [Aegean scripts, scriptStructure, combination of syllabic and logographic signs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptStructure Context triple: [Aegean scripts, scriptStructure, combination of syllabic and logographic signs]
-
A.
programStructure
Indicates how components, modules, or elements are organized and related within a program or system.
-
B.
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).
-
C.
scriptCode
Indicates that an entity is associated with a particular writing system or script, identified by a standardized script code.
-
D.
codeStructureDescription
Indicates that one entity provides a textual or symbolic explanation of the organization, components, or layout of a piece of code represented by another entity.
-
E.
encodingStructure
Indicates the structural scheme or format used to encode information or data.
- 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 28, 2026, 10:13 a.m.