Triple
T1527478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tglg |
E32366
|
entity |
| Predicate | scriptCodeRole |
P29840
|
FINISHED |
| Object | identifies Baybayin in information systems |
—
|
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: identifies Baybayin in information systems | Statement: [Tglg, scriptCodeRole, identifies Baybayin in information systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptCodeRole Context triple: [Tglg, scriptCodeRole, identifies Baybayin in information systems]
-
A.
scriptContextRole
Indicates the role or function an entity plays within the context of a particular script or scripted interaction.
-
B.
scriptCode
Indicates that an entity is associated with a particular writing system or script, identified by a standardized script code.
-
C.
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).
-
D.
scriptCategory
Indicates the classification or type of script to which an entity (such as a written work, code, or performance text) belongs.
-
E.
definesRole
Indicates that one entity specifies or establishes the role, function, or position of another entity within a given context.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a933dce3488190b20f0e3d37d16371 |
completed | March 5, 2026, 7:42 a.m. |
Created at: March 4, 2026, 7:26 p.m.