Triple
T26099529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raqqada National Museum of Islamic Art |
E658356
|
entity |
| Predicate | exhibitsFromCity |
P104143
|
FINISHED |
| Object | Kairouan |
—
|
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: Kairouan | Statement: [Raqqada National Museum of Islamic Art, exhibitsFromCity, Kairouan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitsFromCity Context triple: [Raqqada National Museum of Islamic Art, exhibitsFromCity, Kairouan]
-
A.
exhibitedInCity
Indicates that an exhibition or display of an entity took place within a specific city.
-
B.
hasExhibitionsAbout
Indicates that one entity organizes or presents exhibitions whose subject matter concerns another entity.
-
C.
exhibitedBy
Indicates that something (such as a quality, behavior, or characteristic) is shown, displayed, or demonstrated by a particular entity.
-
D.
hasExhibitsFrom
chosen
Indicates a relationship where one entity (typically a venue or collection) includes or displays exhibits originating from another entity (such as an artist, institution, or location).
-
E.
museumCity
Indicates the city in which a given museum is located.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f607394b6881909bcf1a6871359541 |
completed | May 2, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 7:53 p.m.