Triple
T894352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westmoreland County, Virginia |
E19309
|
entity |
| Predicate | hasZIPCodeRange |
P476
|
FINISHED |
| Object | 22442 |
—
|
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: 22442 | Statement: [Westmoreland County, Virginia, hasZIPCodeRange, 22442]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasZIPCodeRange Context triple: [Westmoreland County, Virginia, hasZIPCodeRange, 22442]
-
A.
postalCodeRange
chosen
Indicates that one entity specifies a contiguous range of postal codes applicable to another entity or context.
-
B.
hasPostalCodePrefix
Indicates that a location’s postal code begins with a specified sequence of characters.
-
C.
hasAreaCode
Indicates that a specified telephone area code is assigned to or associated with a particular geographic region, location, or phone service entity.
-
D.
hasStandardSubdivisionRange
Indicates that there is a defined range of standard subdivisions applicable to a given entity or classification.
-
E.
postalArea
Indicates that one entity is the postal or ZIP code area associated with the location or address represented by the other 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad22b6fc819093e655c8ce1f738b |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa94f7c881908deeb62308942e19 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.