Triple
T10420624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As-Sabiqun (The Foremost) |
E245636
|
entity |
| Predicate | linguisticRoot |
P33904
|
FINISHED |
| Object | س ب ق |
—
|
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: س ب ق | Statement: [As-Sabiqun (The Foremost), linguisticRoot, س ب ق]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticRoot Context triple: [As-Sabiqun (The Foremost), linguisticRoot, س ب ق]
-
A.
hasRootWord
chosen
Indicates that one linguistic form is derived from, based on, or directly associated with a specified root word.
-
B.
etymologicalRootMeaning
Indicates that one term’s meaning originates from or is derived from the historical or original meaning of another term.
-
C.
linguisticallyRelatedTo
Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
-
D.
semanticRootMeaning
Indicates the fundamental or core meaning that underlies a word, phrase, or expression in a semantic structure.
-
E.
etymologicalLanguage
Indicates the language from which a word or term is historically derived in its etymology.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2bee2081908e5e65df9100d463 |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:11 p.m.