Triple
T10337269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الكتاب |
E243039
|
entity |
| Predicate | يُستشهد به في |
P8581
|
FINISHED |
| Object | كتب النحو المتأخرة |
—
|
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: كتب النحو المتأخرة | Statement: [الكتاب, يُستشهد به في, كتب النحو المتأخرة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُستشهد به في Context triple: [الكتاب, يُستشهد به في, كتب النحو المتأخرة]
-
A.
usedAsExampleIn
Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
-
B.
isReferencedIn
chosen
Indicates that one entity is cited, mentioned, or otherwise referred to within another entity.
-
C.
mentionedAs
Indicates that one entity is referred to or cited by name or description in the context of another entity.
-
D.
usedInMediaAs
Indicates that something is employed, featured, or referenced within a media work (such as a film, show, game, or publication) in some capacity.
-
E.
usedInLegalCitation
Indicates that one entity is referenced or relied upon as an authoritative source within a legal citation to support legal arguments or decisions.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:54 a.m.