Triple
T10641884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church Street Historic District, Vienna, Virginia |
E250741
|
entity |
| Predicate | developmentAssociatedWith |
P52726
|
FINISHED |
| Object | railroad era in Vienna |
—
|
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: railroad era in Vienna | Statement: [Church Street Historic District, Vienna, Virginia, developmentAssociatedWith, railroad era in Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developmentAssociatedWith Context triple: [Church Street Historic District, Vienna, Virginia, developmentAssociatedWith, railroad era in Vienna]
-
A.
developmentLinkedTo
chosen
Indicates that the development or progression of one entity is causally or contextually connected to the development or progression of another entity.
-
B.
alsoDevelopedIn
Indicates that something was additionally developed in another context, location, or environment beyond the primary one already specified.
-
C.
associatedCompanySpecialization
Indicates that a company is linked to a particular area of specialization or expertise.
-
D.
developmentCategory
Indicates the classification of an entity according to a particular stage, type, or area of development.
-
E.
associatedWithTechnology
Indicates a relationship where an entity is connected to, involved with, or utilizes a particular technology.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfce1ddc8190893fe6f7b047b56b |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:05 p.m.