Triple
T30495681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guide of the Revolution |
E775997
|
entity |
| Predicate | officialTitleLanguage |
P51323
|
FINISHED |
| Object | Arabic |
—
|
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: Arabic | Statement: [Guide of the Revolution, officialTitleLanguage, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialTitleLanguage Context triple: [Guide of the Revolution, officialTitleLanguage, Arabic]
-
A.
officialTitleInLanguage
chosen
Indicates that an entity’s official title or designation is expressed in a specified language.
-
B.
officialLanguageOfTitle
Indicates that a specified language is the officially designated language associated with a particular title or position.
-
C.
officialTermLanguage
Indicates the language in which an official term is formally expressed or defined.
-
D.
cultTitleLanguage
Indicates the language in which a cult title or religious honorific is expressed.
-
E.
officialLanguage
Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: April 29, 2026, 8:14 p.m.