Triple
T38468054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodland, Wisconsin |
E912628
|
entity |
| Predicate | isInCountryLevel |
P117234
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Woodland, Wisconsin, isInCountryLevel, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCountryLevel Context triple: [Woodland, Wisconsin, isInCountryLevel, United States]
-
A.
isSetInCountry
chosen
Indicates that something (such as an event, story, or scene) takes place within the geographical or political boundaries of a specified country.
-
B.
isInCountryISO
Indicates that one entity is located within, or belongs to, the country identified by a specific ISO country code.
-
C.
meetsInCountrySubdivision
Indicates that two or more entities meet or have a meeting within a specific administrative subdivision of a country (such as a state, province, or region).
-
D.
isWithinSingleCountry
Indicates that all referenced locations lie inside the borders of the same country.
-
E.
hasCountrySubdivisionLevel
Indicates the hierarchical administrative level or tier at which a given country subdivision (such as a state, province, or region) is defined within the country's overall territorial organization.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.