Triple
T34076405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miri-Piri |
E873917
|
entity |
| Predicate | scriptOfTerm |
P74999
|
FINISHED |
| Object | Gurmukhi |
—
|
NE NERFINISHED |
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: Gurmukhi | Statement: [Miri-Piri, scriptOfTerm, Gurmukhi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptOfTerm Context triple: [Miri-Piri, scriptOfTerm, Gurmukhi]
-
A.
scriptOfReferent
chosen
Indicates that a script (e.g., writing system or code) is associated with, or used to represent, a particular referent.
-
B.
scriptOfSymbol
Indicates that one symbol is written or represented using the writing system or script associated with another symbol.
-
C.
scriptOfTitle
Indicates that a script (e.g., a written work or screenplay) is associated with or belongs to a particular titled work.
-
D.
scriptDescription
Indicates that a script provides a textual explanation or summary describing its content, purpose, or behavior.
-
E.
scriptOfOrigin
Indicates that one entity is the original writing system or script from which another script is derived or historically originates.
- 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 1, 2026, 1:52 a.m.