Triple
T33371476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvinesdal municipality |
E854501
|
entity |
| Predicate | hasSignificantEmigrationHistoryTo |
P43380
|
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: [Kvinesdal municipality, hasSignificantEmigrationHistoryTo, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantEmigrationHistoryTo Context triple: [Kvinesdal municipality, hasSignificantEmigrationHistoryTo, United States]
-
A.
hasSignificantEmigrationTo
chosen
Indicates that a substantial number of people leave one place, group, or entity to move and settle in another specific place, group, or entity.
-
B.
hasNotableEmigrant
Indicates that an entity has at least one emigrant who is considered notable or significant in some recognized way.
-
C.
emigratedWith
Indicates that one entity moved from their country or place of origin to settle in another location together with the other entity.
-
D.
emigratedAfter
Indicates that one entity emigrated from its original place at a time later than another entity’s emigration.
-
E.
hasImmigrantCommunitiesFrom
Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: May 1, 2026, 1:35 a.m.