Triple
T26181706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naguib Mahfouz’s Miramar universe |
E654700
|
entity |
| Predicate | hasWorkTitleInArabic |
P33894
|
FINISHED |
| Object | ميرامار |
—
|
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: ميرامار | Statement: [Naguib Mahfouz’s Miramar universe, hasWorkTitleInArabic, ميرامار]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkTitleInArabic Context triple: [Naguib Mahfouz’s Miramar universe, hasWorkTitleInArabic, ميرامار]
-
A.
hasNameInArabic
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
B.
titleInArabic
chosen
Indicates that an entity’s title is expressed in the Arabic language.
-
C.
titleInArabicScript
Indicates that an entity’s title is represented in Arabic script.
-
D.
hasTitleWork
Indicates that an entity is associated with a specific work by its title (i.e., the entity has or bears that work’s title).
-
E.
hasWorkTitleInPinyin
Indicates that an entity’s work title is represented in the Pinyin (romanized Chinese) form.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 26, 2026, 8:40 p.m.