Triple
T312153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Masjid an-Nabawi |
E7629
|
entity |
| Predicate | hasCourtyardUmbrellas |
P8429
|
FINISHED |
| Object | large retractable shade umbrellas in courtyards |
—
|
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: large retractable shade umbrellas in courtyards | Statement: [Al-Masjid an-Nabawi, hasCourtyardUmbrellas, large retractable shade umbrellas in courtyards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCourtyardUmbrellas Context triple: [Al-Masjid an-Nabawi, hasCourtyardUmbrellas, large retractable shade umbrellas in courtyards]
-
A.
hasBalcony
Indicates that a building or dwelling includes a balcony as part of its structure or features.
-
B.
hasCanopy
chosen
Indicates that one entity possesses or is characterized by a canopy associated with it.
-
C.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
-
D.
isOutdoorFacility
Indicates that a facility is located outdoors or primarily functions in an open-air environment.
-
E.
hasExhibitionArea
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea4aa16881909b2c8404b85992df |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e940b9e8819092b821ff17ed026b |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.