Triple
T20789667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Qatraye |
E511736
|
entity |
| Predicate | scriptUsedForTexts |
P103921
|
FINISHED |
| Object | Syriac 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: Syriac script | Statement: [Beth Qatraye, scriptUsedForTexts, Syriac script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUsedForTexts Context triple: [Beth Qatraye, scriptUsedForTexts, Syriac script]
-
A.
scriptUsedForLanguage
Indicates that a particular writing script is employed to write or represent a given language.
-
B.
scriptText
Indicates that one entity contains or represents the textual content of a script associated with another entity.
-
C.
scriptUsedCurrently
Indicates that a particular writing system or script is the one presently in use for a given language, text, or context.
-
D.
textScript
chosen
Indicates the writing system or script in which a given piece of text is expressed.
-
E.
usesTextBy
Indicates that one entity makes use of or relies on a text authored or provided 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28f0e1081909f18dddfc6ec084c |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:38 p.m.