Triple
T634742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Interior Building |
E15997
|
entity |
| Predicate | hasInteriorCourtyards |
P6655
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Main Interior Building, hasInteriorCourtyards, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInteriorCourtyards Context triple: [Main Interior Building, hasInteriorCourtyards, yes]
-
A.
hasCourtyard
Indicates that one entity includes, features, or is characterized by the presence of a courtyard.
-
B.
numberOfMainCourtyards
Indicates the quantity of primary courtyards associated with an entity.
-
C.
hasInteriorFeature
chosen
Indicates that an entity contains or includes a specific feature within its interior space.
-
D.
innerCourtBuilding
Indicates that a building is located within the inner court area of another structure or complex.
-
E.
hasMainHall
Indicates that an entity possesses or includes a primary or central hall as a significant internal space.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee4ee8481908ad45405e3f3835c |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.