Triple
T16595140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OMR |
E403185
|
entity |
| Predicate | scriptForSymbol |
P8580
|
FINISHED |
| Object | Arabic script |
—
|
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: Arabic script | Statement: [OMR, scriptForSymbol, Arabic script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptForSymbol Context triple: [OMR, scriptForSymbol, Arabic script]
-
A.
scriptOfSymbol
chosen
Indicates that one symbol is written or represented using the writing system or script associated with another symbol.
-
B.
scriptRepresentation
Indicates the specific written or encoded form in which something (such as language, data, or content) is expressed or represented.
-
C.
scriptCode
Indicates that an entity is associated with a particular writing system or script, identified by a standardized script code.
-
D.
scriptOfReferent
Indicates that a script (e.g., writing system or code) is associated with, or used to represent, a particular referent.
-
E.
scriptFeature
Indicates that a script includes, supports, or is characterized by a particular feature or capability.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d717604819083ed60b865bbd13e |
completed | April 18, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.