Triple
T13950800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin County, New York |
E335517
|
entity |
| Predicate | postalAbbreviationContext |
P2461
|
FINISHED |
| Object | NY |
—
|
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: NY | Statement: [Franklin County, New York, postalAbbreviationContext, NY]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postalAbbreviationContext Context triple: [Franklin County, New York, postalAbbreviationContext, NY]
-
A.
hasPostalAbbreviationState
chosen
Indicates that a state is associated with a specific standardized postal abbreviation.
-
B.
hasPostalAbbreviationProvince
Indicates that a province is associated with a specific standardized postal abbreviation used in mailing addresses.
-
C.
postalStateCode
Indicates the standardized state or regional code used in a postal address for the entity.
-
D.
postalName
Indicates the standardized name or label used for addressing and postal purposes associated with an entity.
-
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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e131c608190b4ffdbada24a3208 |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.