Triple
T25226320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinnah Mausoleum |
E632095
|
entity |
| Predicate | architectProfession |
P160904
|
FINISHED |
| Object | architect |
—
|
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: architect | Statement: [Jinnah Mausoleum, architectProfession, architect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architectProfession Context triple: [Jinnah Mausoleum, architectProfession, architect]
-
A.
architecturalRole
Indicates the functional or design-related role that one entity plays within the structure, layout, or organization of another entity.
-
B.
architectEmployed
Indicates that an architect is employed by a particular organization, firm, or individual.
-
C.
architectEngaged
Indicates that an architect has been formally hired or contracted to provide architectural services for a project or client.
-
D.
architecturalCollaborator
Indicates a relationship where one entity works jointly with another on architectural design, planning, or related architectural activities.
-
E.
coArchitectOf
Indicates a relationship where two or more entities jointly serve as architects of the same project, design, or structure.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f60cd7b3e88190a1206958c0f0b225 |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60c32ce088190a620eb59d2499fa9 |
completed | May 2, 2026, 2:37 p.m. |
Created at: April 21, 2026, 1:03 p.m.