Triple
T8172825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckland, Virginia |
E190863
|
entity |
| Predicate | hasNRHPReferenceNumber |
P2954
|
FINISHED |
| Object | 74002148 |
—
|
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: 74002148 | Statement: [Buckland, Virginia, hasNRHPReferenceNumber, 74002148]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNRHPReferenceNumber Context triple: [Buckland, Virginia, hasNRHPReferenceNumber, 74002148]
-
A.
NRHPReferenceNumber
chosen
Indicates the unique identification number assigned to a property or site listed in the National Register of Historic Places.
-
B.
NRHPReference
Indicates that an entity is associated with a specific reference entry or identifier in the National Register of Historic Places.
-
C.
hasNotableHistoricalAssociation
Indicates that there is a significant connection between an entity and an important historical event, figure, period, or development.
-
D.
locatedInNationalHistoricalPark
Indicates that something is situated within the boundaries of a designated national historical park.
-
E.
designatedNationalHistoricLandmark
Indicates that an entity has been officially recognized and assigned status as a national historic landmark by the appropriate authority.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4807c9808190ad91a9c688a4c7fd |
completed | March 31, 2026, 4:05 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:39 p.m.