Triple
T32838447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | النشيد الوطني الجزائري |
E839898
|
entity |
| Predicate | عدد_المقاطع_الأصلية |
P1146
|
FINISHED |
| Object | خمسة مقاطع |
—
|
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: خمسة مقاطع | Statement: [النشيد الوطني الجزائري, عدد_المقاطع_الأصلية, خمسة مقاطع]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عدد_المقاطع_الأصلية Context triple: [النشيد الوطني الجزائري, عدد_المقاطع_الأصلية, خمسة مقاطع]
-
A.
عدد المقاطع
Indicates the number of segments or parts into which something is divided.
-
B.
numberOfChapters
Indicates the total count of chapters associated with a given entity.
-
C.
numberOfStanzasInOriginalPoem
chosen
Indicates the total count of stanzas contained in the poem’s original version.
-
D.
numberOfPassages
Indicates the total count of distinct passages associated with or contained within a given entity or context.
-
E.
hasNumberOfPartsInWholeWork
Indicates that an entity specifies how many component parts are contained within a complete work.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:16 a.m.