Triple
T1309964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahmukhi script |
E27965
|
entity |
| Predicate | scriptCodeStandard |
P9329
|
FINISHED |
| Object | none widely standardized in ISO 15924 (as of 2024) |
—
|
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: none widely standardized in ISO 15924 (as of 2024) | Statement: [Shahmukhi script, scriptCodeStandard, none widely standardized in ISO 15924 (as of 2024)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptCodeStandard Context triple: [Shahmukhi script, scriptCodeStandard, none widely standardized in ISO 15924 (as of 2024)]
-
A.
scriptCode
chosen
Indicates that an entity is associated with a particular writing system or script, identified by a standardized script code.
-
B.
codeStandard
Indicates that an entity adheres to, complies with, or is governed by a specified coding or programming standard.
-
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.
scriptRepresentation
Indicates the specific written or encoded form in which something (such as language, data, or content) is expressed or represented.
-
E.
scriptVariantLanguage
Indicates that a language is a variant distinguished by its writing system or script from another, related language form.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.