Triple
T4776901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeocomico Church |
E106072
|
entity |
| Predicate | VirginiaLandmarksRegisterListingDate |
P59254
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [Yeocomico Church, VirginiaLandmarksRegisterListingDate, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VirginiaLandmarksRegisterListingDate Context triple: [Yeocomico Church, VirginiaLandmarksRegisterListingDate, 1972]
-
A.
nationalRegisterOfHistoricPlacesListing
Indicates that an entity is officially listed in the National Register of Historic Places as a recognized historic property or site.
-
B.
nationalRegisterOfHistoricPlacesListingYear
Indicates the year in which an entity was officially listed in the National Register of Historic Places.
-
C.
NationalHistoricLandmarkDesignationDate
Indicates the date on which something was officially designated as a National Historic Landmark.
-
D.
populationRankInVirginia
Indicates the relative position of an entity in terms of population size compared to other entities within Virginia.
-
E.
cityLandmarkDesignationDate
Indicates the date on which a particular landmark was officially designated or recognized within a city.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6922407481908565ed0b1dac2b30 |
completed | March 20, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:21 p.m.