Triple
T22253362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deir Sammit |
E550033
|
entity |
| Predicate | hasScriptForName |
P60557
|
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: [Deir Sammit, hasScriptForName, Arabic script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScriptForName Context triple: [Deir Sammit, hasScriptForName, Arabic script]
-
A.
hasScriptName
chosen
Indicates that an entity is associated with a specific script or writing system identified by a particular name.
-
B.
hasScriptCode
Indicates that an entity is associated with a particular writing system identified by a specific script code.
-
C.
containsScript
Indicates that one entity includes or embeds the script of another entity within it.
-
D.
hasScriptPropertyValue
Indicates that a script-related property of an entity is assigned a specific value.
-
E.
hasScriptUsage
Indicates that one entity uses, employs, or is written in the script or writing system specified by another entity.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c0c4f48190a75473a7835014f1 |
completed | April 28, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:39 p.m.