Triple
T697172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jama Masjid, Delhi |
E13917
|
entity |
| Predicate | hasPlazaSurface |
P11118
|
FINISHED |
| Object | stone paving |
—
|
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: stone paving | Statement: [Jama Masjid, Delhi, hasPlazaSurface, stone paving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlazaSurface Context triple: [Jama Masjid, Delhi, hasPlazaSurface, stone paving]
-
A.
hasPlaza
Indicates that an entity includes, contains, or is associated with a plaza as part of its structure or grounds.
-
B.
hasPedestrianPlazaOn
Indicates that a pedestrian plaza is located on, or directly associated with, a specified surface, structure, or area.
-
C.
hasFloorMaterial
chosen
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
-
D.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
E.
hasCourtyard
Indicates that one entity includes, features, or is characterized by the presence of a courtyard.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c8055881909565ebde2be8fd7a |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d2586b081908e052cc5ba1d2685 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.