Triple
T15818061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historic American Buildings Survey in Florida |
E383529
|
entity |
| Predicate | documentsTypeOfStructure |
P120190
|
FINISHED |
| Object | residential buildings |
—
|
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: residential buildings | Statement: [Historic American Buildings Survey in Florida, documentsTypeOfStructure, residential buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentsTypeOfStructure Context triple: [Historic American Buildings Survey in Florida, documentsTypeOfStructure, residential buildings]
-
A.
documentationType
Indicates the specific category or kind of documentation associated with or required for an entity or process.
-
B.
DOCType
Indicates the type or category of a document associated with an entity or action.
-
C.
documentTypeUsed
Indicates that a particular type or category of document is employed or applied in a given context or activity.
-
D.
documentTypeContext
Indicates the contextual relationship between a document and its specific type or classification within a given setting or usage scenario.
-
E.
documentTypeIncluded
Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a4332c8190bc525e06d6f3a6b4 |
completed | April 16, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e00e48d49c819081afccb02f9cf18b |
completed | April 15, 2026, 10:16 p.m. |
Created at: April 10, 2026, 4:49 a.m.