Triple
T35983264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At-Taj wa al-Iklil |
E1040636
|
entity |
| Predicate | hasWorkTitleInArabicScript |
P51392
|
FINISHED |
| Object | التاج والإكليل |
—
|
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: التاج والإكليل | Statement: [At-Taj wa al-Iklil, hasWorkTitleInArabicScript, التاج والإكليل]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkTitleInArabicScript Context triple: [At-Taj wa al-Iklil, hasWorkTitleInArabicScript, التاج والإكليل]
-
A.
hasTitleInAramaic
Indicates that an entity has a specific title or name expressed in the Aramaic language.
-
B.
hasWorkTitleInPinyin
Indicates that an entity’s work title is represented in the Pinyin (romanized Chinese) form.
-
C.
hasNameInArabic
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
D.
titleInArabicScript
chosen
Indicates that an entity’s title is represented in Arabic script.
-
E.
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).
- 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: May 3, 2026, 4:07 p.m.