Triple
T37687520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lescher & Mahoney |
E938410
|
entity |
| Predicate | architecturalPracticeType |
P192736
|
FINISHED |
| Object | commercial architectural firm |
—
|
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: commercial architectural firm | Statement: [Lescher & Mahoney, architecturalPracticeType, commercial architectural firm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architecturalPracticeType Context triple: [Lescher & Mahoney, architecturalPracticeType, commercial architectural firm]
-
A.
architecturalWorkType
Indicates the specific kind or category of architectural work that characterizes the relationship between entities.
-
B.
architecturalWork
Indicates that one entity is an architectural creation (such as a building or structure) designed or realized by another entity.
-
C.
architectureFirm
Indicates that one entity is an architecture firm responsible for providing architectural services or design work to another entity.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
architectProfession
Indicates that one entity has the profession or occupational role of an architect in relation to the other entity.
- 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_69f76ed881408190bc62a969530a4a53 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
| PDg | Predicate description generation | batch_69fd28379d2c8190903ba228ee1cc756 |
completed | May 8, 2026, 12:03 a.m. |
Created at: May 3, 2026, 4:18 p.m.