Triple
T1836548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Faisaliyah Center |
E41079
|
entity |
| Predicate | hasTopFloorFeature |
P33958
|
FINISHED |
| Object | glass sphere |
—
|
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: glass sphere | Statement: [Al Faisaliyah Center, hasTopFloorFeature, glass sphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTopFloorFeature Context triple: [Al Faisaliyah Center, hasTopFloorFeature, glass sphere]
-
A.
hasUpperFloor
Indicates that one entity possesses or includes an upper floor relative to another level or reference point.
-
B.
hasInteriorFeature
Indicates that an entity contains or includes a specific feature within its interior space.
-
C.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
D.
hasRooftopSpace
Indicates that an entity includes or provides an accessible rooftop area intended for use or occupancy.
-
E.
hasCeilingType
Indicates that an entity is associated with or characterized by a specific type of ceiling.
- F. None of above. chosen
Provenance (4 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafd88ebc81908208394746351fe6 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:33 p.m.