Triple
T25138183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staunton–Waynesboro micropolitan area |
E629720
|
entity |
| Predicate | hasCentralCities |
P158407
|
FINISHED |
| Object | Waynesboro, 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: Waynesboro, Virginia | Statement: [Staunton–Waynesboro micropolitan area, hasCentralCities, Waynesboro, Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralCities Context triple: [Staunton–Waynesboro micropolitan area, hasCentralCities, Waynesboro, Virginia]
-
A.
hasCentralCities
chosen
Indicates that an entity is associated with one or more cities that serve as its primary or central urban locations.
-
B.
hasCentralRegion
Indicates that an entity possesses or is associated with a primary or central area within its overall structure or domain.
-
C.
hasCentralTownFeature
Indicates that a town possesses a specific central feature or focal element (such as a landmark, square, or facility) that characterizes its core area.
-
D.
hasRegionalCentresIn
Indicates that an entity maintains one or more regional centers located in the specified place or area.
-
E.
isNationalCentralCity
Indicates that a city holds the official status of a national-level central city within a country’s administrative or strategic planning system.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 6:29 a.m.