Triple
T18453196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinan Pasha Mosque in Beşiktaş |
E450836
|
entity |
| Predicate | hasAblutionFountain |
P86197
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sinan Pasha Mosque in Beşiktaş, hasAblutionFountain, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAblutionFountain Context triple: [Sinan Pasha Mosque in Beşiktaş, hasAblutionFountain, true]
-
A.
hasAblutionFacilities
chosen
Indicates that an entity provides or is equipped with facilities for performing ablution or ritual washing.
-
B.
hasFountain
Indicates that one entity contains, features, or is equipped with a fountain.
-
C.
requiresAblution
Indicates that performing the referenced action or participating in the referenced state or event is contingent upon first completing a ritual washing or purification (ablution).
-
D.
hasBathhouse
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
E.
fountainType
Indicates the specific kind or category of fountain associated with an entity.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264a49ec8190aa43381d93a55e91 |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:31 a.m.