Triple
T29201310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norfolk County, Virginia |
E740279
|
entity |
| Predicate | containedAreaNow |
P110149
|
FINISHED |
| Object | Chesapeake, Virginia |
—
|
NE NERFINISHED |
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: Chesapeake, Virginia | Statement: [Norfolk County, Virginia, containedAreaNow, Chesapeake, Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containedAreaNow Context triple: [Norfolk County, Virginia, containedAreaNow, Chesapeake, Virginia]
-
A.
coreAreaNowIn
Indicates that an entity’s primary or central area is currently located within or part of another specified area.
-
B.
enclosesArea
Indicates that one entity surrounds and contains a bounded region of space occupied or defined by another.
-
C.
includesAreaOf
chosen
Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
-
D.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
E.
coveredArea
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
Created at: April 28, 2026, 12:06 p.m.