Triple
T38047859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ʿAbd al-Razzāq |
E949668
|
entity |
| Predicate | componentOfPhrase |
P79823
|
FINISHED |
| Object | ʿAbd |
—
|
NE NERFINISHED |
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: ʿAbd | Statement: [ʿAbd al-Razzāq, componentOfPhrase, ʿAbd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentOfPhrase Context triple: [ʿAbd al-Razzāq, componentOfPhrase, ʿAbd]
-
A.
isUsedInPhrase
chosen
Indicates that something (such as a word, expression, or symbol) appears as a component within a particular phrase.
-
B.
componentTerm
Indicates that one term functions as a component or constituent part of another term within a larger conceptual or structural whole.
-
C.
grammaticalComponents
Indicates a relationship where one entity is a grammatical part or element that composes or structures another linguistic unit.
-
D.
deltaPartOf
Indicates that one entity represents a changed, differing, or modified portion of another entity, rather than the whole.
-
E.
meaningComponent
Indicates that one entity represents a semantic or conceptual component contributing to the overall meaning of 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.