Triple
T33689367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | طريق 25 |
E863131
|
entity |
| Predicate | اللغة الشائعة لاسمه |
P37507
|
FINISHED |
| Object | العربية |
—
|
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: العربية | Statement: [طريق 25, اللغة الشائعة لاسمه, العربية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: اللغة الشائعة لاسمه Context triple: [طريق 25, اللغة الشائعة لاسمه, العربية]
-
A.
hasNamesakeLanguage
Indicates that an entity has a language named after it or sharing the same name as the entity.
-
B.
languageCommonlyCalled
chosen
Indicates that one language is commonly referred to or known by a particular alternative name or label.
-
C.
hasLanguageOfNickname
Indicates that an entity’s nickname is expressed in, or associated with, a particular language.
-
D.
الاسم الشائع
Indicates that one entity specifies the common or popular name used to refer to another entity.
-
E.
hasLadinName
Indicates that an entity is associated with a specific name expressed in the Ladin language.
- 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_69f3498662b48190904442c39df84fb7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fa67cd908190a1784bd212fe3749 |
completed | May 3, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.