Triple
T36406168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic root R-Š-D (رشَد) |
E896753
|
entity |
| Predicate | formIVMeaning |
P185450
|
FINISHED |
| Object | to guide rightly |
—
|
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: to guide rightly | Statement: [Arabic root R-Š-D (رشَد), formIVMeaning, to guide rightly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formIVMeaning Context triple: [Arabic root R-Š-D (رشَد), formIVMeaning, to guide rightly]
-
A.
formXMeaning
chosen
Indicates a relationship where a particular form (such as a word, sign, or symbol) is associated with or expresses a specific meaning.
-
B.
formIMeaning
Indicates that one entity is the physical or structural form that expresses, realizes, or encodes the meaning represented by another entity.
-
C.
centralFormulaMeaning
Indicates that one formula or expression represents the primary or core meaning within a larger logical, mathematical, or semantic structure.
-
D.
FitzElementMeaning
Indicates a relationship where an element is associated with, or conveys, a particular meaning or interpretive significance.
-
E.
firmiterMeaning
Indicates that one entity holds, believes, or maintains something firmly, with strong conviction or steadfastness.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.