Triple
T36406160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic root R-Š-D (رشَد) |
E896753
|
entity |
| Predicate | participlePattern |
P31848
|
FINISHED |
| Object | fāʿil (رَاشِد) |
—
|
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: fāʿil (رَاشِد) | Statement: [Arabic root R-Š-D (رشَد), participlePattern, fāʿil (رَاشِد)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participlePattern Context triple: [Arabic root R-Š-D (رشَد), participlePattern, fāʿil (رَاشِد)]
-
A.
hasParticiple
chosen
Indicates that one entity is associated with the participle form (verbal adjective or non-finite verb form) of another entity.
-
B.
hasPartOfSpeechPattern
Indicates that something (such as a phrase, sentence, or expression) follows or exhibits a specific pattern of parts of speech.
-
C.
principalPart
Indicates that one entity is the primary or most important component, role, or participant within the context defined by the other entity.
-
D.
hasPartitiveMeaning
Indicates that the relationship expresses a partitive meaning, where one entity denotes a part or subset of the quantity, mass, or collection represented by another entity.
-
E.
termPattern
Indicates a relationship where one term follows or matches a specific structural or lexical pattern defined by another term or template.
- 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_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:10 p.m.